date stringlengths 10 10 | nb_tokens int64 60 629k | text_size int64 234 1.02M | content stringlengths 234 1.02M |
|---|---|---|---|
2018/05/01 | 1,993 | 7,547 | <issue_start>username_0: I'm trying to write my own implementation of NEAT and I'm stuck on the network evaluate function, which calculates the output of the network.
NEAT as you may know contains a group of neural networks with continuously evolving topologies by the addition of new nodes and new connections. But wit... |
2018/05/02 | 810 | 3,482 | <issue_start>username_0: The basis of Q-learning is recursive (similar to dynamic programming), where only the absolute value of the terminal state is known.
Shouldn't it make sense to feed the model a greater proportion of terminal states initially, to ensure that the predicted value of a step in terminal states (zer... |
2018/05/03 | 631 | 2,629 | <issue_start>username_0: Is it possible to use a VAE to reconstruct an image starting from an initial image instead of using `K.random_normal`, as shown in the “sampling” function of [this example](https://github.com/keras-team/keras/blob/master/examples/variational_autoencoder.py)?
I have used a sample image with the... |
2018/05/04 | 2,082 | 7,564 | <issue_start>username_0: What are the mathematical prerequisites to be able to study artificial general intelligence (AGI) or strong AI?<issue_comment>username_1: I always recommend starting with game theory, combinatorial game theory, and algorithmic combinatorial game theory, (but I'm potentially biased;)
Combinator... |
2018/05/04 | 1,780 | 7,251 | <issue_start>username_0: I'm facing the problem of having images of different dimensions as inputs in a segmentation task. Note that the images do not even have the same aspect ratio.
One common approach that I found in general in deep learning is to crop the images, as it is also suggested [**here**](https://datascie... |
2018/05/06 | 1,672 | 6,520 | <issue_start>username_0: I'm building a 5-class classifier with a private dataset. Each data sample has 67 features and there are about 40000 samples. Samples of a particular class were duplicated to overcome class imbalance problems (hence 40000 samples).
With a one-vs-one multi-class SVM, I am getting an accuracy o... |
2018/05/06 | 941 | 4,197 | <issue_start>username_0: According to [this blog post](https://www.popsci.com/scitech/article/2009-08/evolving-robots-learn-lie-hide-resources-each-other), it seems that AI systems can lie. However, can an AI be programmed in such a way that it never lies (even after learning new things)?<issue_comment>username_1: If a... |
2018/05/07 | 508 | 2,094 | <issue_start>username_0: How can we compare, in terms of similarity (and/or meaning), two pieces of text (or documents)?
For example, let's say that I want to determine whether a document is a plagiarized version of another document. Which approach should I use? Could I use neural networks to do this? Or are there oth... |
2018/05/08 | 1,860 | 7,917 | <issue_start>username_0: This just popped into my head, and I haven't thought it through, but it feels like a sound question. The definition of intelligence might still be somewhat fuzzy, possibly a factor of our evolving understanding of "intelligence" in regard to algorithms, but rationality has some precise definiti... |
2018/05/08 | 2,154 | 8,773 | <issue_start>username_0: I'm working on a Reinforcement Learning task where I use reward shaping as proposed in the paper [Policy invariance under reward transformations:
Theory and application to reward shaping](https://people.eecs.berkeley.edu/~russell/papers/icml99-shaping.pdf) (1999) by <NAME>, <NAME> and <NAME>.
... |
2018/05/09 | 631 | 2,132 | <issue_start>username_0: In the paper [*Deterministic Policy Gradient Algorithms*](http://proceedings.mlr.press/v32/silver14.pdf), I am really confused about chapter 4.1 and 4.2 which is "On and off-policy Deterministic Actor-Critic".
I don't know what's the difference between two algorithms.
I only noticed that th... |
2018/05/09 | 2,460 | 10,299 | <issue_start>username_0: Imagine trying to create a simulated virtual environment that is complicated enough to create a "general AI" (which I define as a self aware AI) but is as simple as possible. What would this minimal environment be like?
i.e. An environment that was just a chess game would be too simple. A ches... |
2018/05/10 | 287 | 1,238 | <issue_start>username_0: I want my neural network structure to not have a circular/looping structure something similar like a directed acyclic graph (DAG). How do I do that?<issue_comment>username_1: The naive way is to generate connections randomly as you would for a cyclic graph, but then perform a test to reject any... |
2018/05/11 | 843 | 3,565 | <issue_start>username_0: I read about softmax from this [article](http://ufldl.stanford.edu/tutorial/supervised/SoftmaxRegression/). Apparently, these 2 are similar, except that the probability of all classes in softmax adds to 1. According to their last paragraph for `number of classes = 2`, softmax reduces to LR. Wha... |
2018/05/12 | 2,089 | 8,135 | <issue_start>username_0: Why is it a bad idea to have a momentum factor greater than 1? What are the mathematical motivations/reasons?<issue_comment>username_1: If [gradient descent](https://en.wikipedia.org/wiki/Gradient_descent) is like walking down a slope, momentum would be the literal momentum of the agent travers... |
2018/05/14 | 2,149 | 8,430 | <issue_start>username_0: I need to design an algorithm such that it handles the request for shift swapping.
The algorithm will recommend a list of people who are more likely to swap that shift with the person by analyzing previous data.
Can anyone list the techniques that will help me to do this or a good starting po... |
2018/05/15 | 1,700 | 6,970 | <issue_start>username_0: I know that one of the recent fads right now is to train a neural network to generate screenplays and new episodes of e.g. the Friends or The Simpsons, and that's fine: it's interesting and might be the necessary first steps toward making programs that can actually generate sensible/understanda... |
2018/05/18 | 357 | 1,545 | <issue_start>username_0: In an RNN to train it, you need to roll it out, and enter in the history of inputs and the history of expected outcomes.
This doesn't seem like a realistic picture of the brain since this would require, for example, for the brain to store a perfect history of every sense that comes in to it f... |
2018/05/19 | 568 | 2,303 | <issue_start>username_0: What is the current research in artificial intelligence and machine learning in the field of data compression?
I have done my research on the [PAQ series of compressors](https://en.wikipedia.org/wiki/PAQ), some of which use neural networks for context mixing.<issue_comment>username_1: Recurren... |
2018/05/19 | 659 | 2,809 | <issue_start>username_0: Let's say you want to do AI research and publish some papers just by your own. Would you send them to an AI journal using just your name? Which AI journals are recommended?<issue_comment>username_1: Let me preface this by acknowledging that this question is prone to opinion. This answer is, in ... |
2018/05/19 | 938 | 3,475 | <issue_start>username_0: The [ReLU](https://en.wikipedia.org/wiki/Rectifier_(neural_networks)) activation function is defined as follows
$$y = \operatorname{max}(0,x)$$
And the linear activation function is defined as follows
$$y = x$$
The ReLU nonlinearity just clips the values less than 0 to 0 and passes everyth... |
2018/05/21 | 910 | 2,114 | <issue_start>username_0: I am trying to track LIDAR objects using Kalman filter. The problem is that the innovation has the value 0, which makes the Kalman gain be Infinity. [Here](https://en.wikipedia.org/wiki/Kalman_filter) is a link with the Kalman equations. The values with which I initialized the measurement and p... |
2018/05/22 | 1,884 | 8,217 | <issue_start>username_0: I used the example at - <https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/5_DataManagement/tensorflow_dataset_api.py> - to create my own classification model. I used different data but the basic outline of datasets was used.
It was important for my data type to shuffl... |
2018/05/22 | 583 | 2,529 | <issue_start>username_0: Various texts on using CNNs for object detection in images talk about how their translation invariance is a good thing. Which makes sense for tasks where the object could be anywhere in the image. Let's say detecting a kitten in household images.
But let's say, you already have some informatio... |
2018/05/23 | 2,607 | 10,659 | <issue_start>username_0: I want to use computer vision to allow my robot to detect the corners of a soccer field based on its current position. Matlab has a detectHarrisFeatures feature, but I believe it is only for 2D mapping.
The approach that I want to try is to collect the information of the lines (using line dete... |
2018/05/24 | 882 | 3,591 | <issue_start>username_0: How do I decrease the accuracy value when training a model using [Keras](https://keras.io/); which parameters can I change to decrease the value?
My objective is not to actually decrease it, but just to know which parameters influence the accuracy
```
sgd = optimizers.SGD(lr=1e-2)
```<issue_... |
2018/05/24 | 947 | 4,052 | <issue_start>username_0: I would like to know how to teach an agent for performing prediction of the severity of disease and also for alerting patients using machine learning methods.
I found the [model-based reflex agent](https://ai.stackexchange.com/q/3243/2444) can be used in medical diagnosis in some literature.
... |
2018/05/25 | 1,202 | 5,074 | <issue_start>username_0: I am looking to detect thin objects, like pens, pencils, and surgical instruments. The bounding box is not important, but I am looking to see if I can train a model to detect both the object as well as its orientation.
Typical object detection networks, like R-CNN, YOLO, and SSD encode the cla... |
2018/05/29 | 910 | 4,113 | <issue_start>username_0: In chapter 8 of "Reinforcement Learning: An Introduction" by Sutton and Barto, it is stated that Dyna needs a model to simulate the environment.
But why do we need a model? Why can't we just use the real environment itself? Wouldn't it be more helpful to use real environment instead of fake o... |
2018/05/29 | 388 | 1,494 | <issue_start>username_0: What are feature embeddings in the context of convolutional neural networks? Is it related to bottleneck features or feature vectors?<issue_comment>username_1: >
> Feature embeddings are basically anything that can act as a hidden representation for given object.
>
>
>
In the case of imag... |
2018/05/29 | 438 | 1,934 | <issue_start>username_0: I study AI by myself with the book "Artificial Intelligence: A Modern Approach". I've just finished the chapters about the Bayesian network and probabilities, and I found them very interesting. Now, I want to implement different algorithms and test them in different cases and environments.
Is... |
2018/05/30 | 397 | 1,622 | <issue_start>username_0: I'm having trouble grasping how to output word embeddings from an LSTM model. I'm seeing many examples using a softmax activation function on the output, but for that I would need to output one hot vectors as long as the vocabulary (which is too long). So, should I use a linear activation funct... |
2018/05/30 | 603 | 2,390 | <issue_start>username_0: There seems to be a major difference in how the terminal reward is received/handled in self-play RL vs "normal" RL, which confuses me.
I implemented TicTacToe the normal way, where a single agent plays against an environment that manages the state and also replies with a new move. In this scen... |
2018/05/30 | 1,984 | 7,183 | <issue_start>username_0: I've been reading Google's DeepMind Atari [paper](http://web.stanford.edu/class/psych209/Readings/MnihEtAlHassibis15NatureControlDeepRL.pdf "RL") and I'm trying to understand the concept of "experience replay". Experience replay comes up in a lot of other reinforcement learning papers (particul... |
2018/05/31 | 2,404 | 9,298 | <issue_start>username_0: How will we recognize a conscious machine (or AI)? Is there any consciousness test? For example, if a machine is aware of its previous experiences, can it be considered conscious?<issue_comment>username_1: I think general artificial intelligence will only be possible with some form of self awar... |
2018/06/04 | 1,334 | 5,358 | <issue_start>username_0: I'm doing a project for my last university examination but I'm having some troubles! I'm making an expert system who should be able to assemble a computer after asking some questions to the user. It works but according to my teacher I need to define more rules, could you give me some suggestion... |
2018/06/04 | 3,675 | 16,287 | <issue_start>username_0: We are doing a research design project on autonomous vehicles and have some questions on AV Levels 4/5; specifically on the roles, impacts and consequences of AV on society, government, users and other stakeholders.
We're currently stuck on this main question:
Q: What functionally, does contr... |
2018/06/05 | 1,528 | 6,376 | <issue_start>username_0: I trained a DQN that learns tic-tac-toe by playing against itself with a reward of -1/0/+1 for a loss/draw/win. Every 500 episodes, I test the progress by letting it play some episodes (also 500) against a random player.
As shown in the picture below, the net learns quickly to get an average r... |
2018/06/06 | 1,469 | 6,224 | <issue_start>username_0: In the paper [Progressive growing of gans for improved quality, stability, and variation](https://research.nvidia.com/sites/default/files/pubs/2017-10_Progressive-Growing-of/karras2018iclr-paper.pdf) (ICLR, 2018) by Nvidia researchers, the authors write
>
> Furthermore, we observe that mode c... |
2018/06/07 | 1,416 | 6,139 | <issue_start>username_0: Disclaimer: I am a novice in the world of machine learning, so please excuse my ignorance.
My dataset consists of things like age, days since last visit, etc. This information is medical related. None of which is geometrical, just data pertaining to particular clients.
The goal is to classify... |
2018/06/08 | 962 | 4,098 | <issue_start>username_0: I am reading a book about OpenCV, it speaks about some derivative of images like `sobel`. I am confused about image derivative! What is derived from? How can we derived from an image? I know we consider an image(1-channel) as a n\*m matrix with 0 to 255 intensity numbers. How can we derive from... |
2018/06/08 | 906 | 4,034 | <issue_start>username_0: I'm working with deep learning on some EEG data for classification, and I was wondering if there's any systematic/mathematical way to define the architecture of the networks, in order to compare their performance fairly.
Should the comparison be at the level of neurons (e.g. number of neurons ... |
2018/06/09 | 1,198 | 4,995 | <issue_start>username_0: I have been looking at the Fibonacci series, the golden ratio, and its uses in nature, like how flowers and animals grow based on the series.
I was wondering whether we could use the Fibonacci series and the golden ratio in any way in AI, especially in evolutionary algorithms. Any ideas or ins... |
2018/06/10 | 1,489 | 6,066 | <issue_start>username_0: In our lives, we meet different people and describe their common sense based on how they act on a situation. For example, highly extrovert people are able to deal with people without any awkwardness. For them, an action in how to deal with people come as common sense. But, in the case of scient... |
2018/06/11 | 726 | 3,267 | <issue_start>username_0: I would like to develop a machine learning algorithm, given two photos, that can decide which image is more "artistic".
I am thinking about somehow combining two images, giving it to a CNN, and get an output 0 (the first image is better) or 1 (the second image is better). Do you think this is ... |
2018/06/14 | 371 | 1,426 | <issue_start>username_0: It seems that older RNNs have a limitation for their use cases and have been outperformed by other recurrent architectures, such as the LSTM and GRU.<issue_comment>username_1: These newer RNNs (LSTMs and GRUs) have greater memory control, allowing previous values to persist or to be reset as ne... |
2018/06/15 | 2,108 | 8,938 | <issue_start>username_0: I read <NAME>'s [The Book of Why](https://rads.stackoverflow.com/amzn/click/com/046509760X), in which he mentions that deep learning is just a glorified curve fitting technology, and will not be able to produce human-like intelligence.
From his book there is this diagram that illustrates the t... |
2018/06/15 | 911 | 4,038 | <issue_start>username_0: I'm trying to detect the **visual attention** area in a given image and crop the image into that area. For instance, given an image of any size and a rectangle of say $L \times W$ dimension as an input, I would like to crop the image to the most important visual attention area.
What are the st... |
2018/06/16 | 1,026 | 4,430 | <issue_start>username_0: I understand how neural networks work and have studied their theory well.
My question is: On the whole, is there a clear understanding of how mutation occurs within a neural network from the input layer to the output layer, for both supervised and unsupervised cases?
Any neural network is a s... |
2018/06/18 | 1,510 | 6,346 | <issue_start>username_0: My knowledge
------------
Suppose you have a layer that is fully connected, and that each neuron performs an operation like
```
a = g(w^T * x + b)
```
were `a` is the output of the neuron, `x` the input, `g` our generic activation function, and finally `w` and `b` our parameters.
If both `... |
2018/06/19 | 1,220 | 5,194 | <issue_start>username_0: So I built a CNN without any scientific libraries like [TensorFlow](https://www.tensorflow.org/) or [Keras](https://keras.io/) (only [NumPy](http://www.numpy.org/)). It is taking a huge amount of time to train. What are some of the tricks and tips followed by people to speed up training of a CN... |
2018/06/19 | 2,604 | 9,756 | <issue_start>username_0: The paper [*The Limitations of Deep Learning in Adversarial Settings*](https://arxiv.org/pdf/1511.07528.pdf) explores how neural networks might be corrupted by an attacker who can manipulate the data set that the neural network trains with. The authors experiment with a neural network meant to ... |
2018/06/20 | 2,577 | 9,685 | <issue_start>username_0: I have a corpus, say an instruction manual. The text in this manual is grouped into chapters and each chapter is split up into sections. For example, Chapter 1/Section 1, Chapter 1/Section 2 and so on.
Assume the corpus has C chapters and each chapter has S sections. My goal is, given a sentenc... |
2018/06/21 | 762 | 3,281 | <issue_start>username_0: Recently, I have been learning about new neural networks, which are used for specialized purposes, like speech recognition, image recognition, etc. The more I discover the more I get amazed by the cleverness behind models such as RNN's and CNN's. Questions about working, intuition, mathematics ... |
2018/06/22 | 512 | 1,853 | <issue_start>username_0: I thought I have implemented the code (from scratch, no library) for an **artificial neural network** (first endeavour in the field). But I feel like I miss something very basic or obvious.
To make it short: code works for a single pair of in-/out-values but fails for sets of value pairs. I d... |
2018/06/24 | 830 | 2,701 | <issue_start>username_0: I am a deep learning beginner recently reading this book "Deep learning with Python", the example explains the process of implementing a greyscale image classification using MNIST in keras, in the compilation step, it said,
>
> Before training, we’ll preprocess the data by reshaping it into t... |
2018/06/25 | 236 | 1,042 | <issue_start>username_0: In a final project in diagnosing Attention deficit hyperactivity disorder (ADHD) using Machine Learning, we obtained parameters from real patients. We used this data and got much higher success rates with LDA than with SVM and Naive Bayes. We had only 100 examples in our training set. We are wo... |
2018/06/25 | 1,012 | 4,006 | <issue_start>username_0: I have an image dataset where objects may belong to one of the hundred thousand classes.
What kind of neural network architecture should I use in order to achieve this?<issue_comment>username_1: A large one!
In all seriousness, imagenet had roughly 1000 classes and did not require anything s... |
2018/06/26 | 1,162 | 4,410 | <issue_start>username_0: The problem of adversarial examples is [known](https://arxiv.org/pdf/1312.6199.pdf) to be critical for neural networks. For example, an image classifier can be manipulated by additively superimposing a different low amplitude image to each of many training examples that looks like noise but is ... |
2018/06/26 | 1,031 | 4,463 | <issue_start>username_0: I have a sort of mathematical problem and I'm not sure which model I should choose to make an LSTM neural network.
Currently in my country, there is a system in which certain groups of researchers upload information on products of scientific interest, such as research articles, books, patents,... |
2018/06/27 | 1,181 | 4,002 | <issue_start>username_0: I'm just beginning to understand neural networks and I've performed a couple of successful tests with numerical series where the NN was trained to find the odd one or a missing value. It all works pretty well.
The next test I wanted to perform was to approxmimate the solution of a Sudoku which... |
2018/06/27 | 903 | 3,837 | <issue_start>username_0: Would people go far with Artificial Intelligence and machine learning to the point where machines could learn during a long period of time to distinguish what's 'good' from 'bad' according to people living in a restricted geographical area, and then the machines take control and turn what was l... |
2018/06/28 | 656 | 2,234 | <issue_start>username_0: In the data-sets like coco-text and total-text, the images are of different sizes (height\*width). I'm using these data sets for text detection. I want to create a DNN model for this. So the input data should be of same size. If I resize these images to a fixed size, the annotations given in th... |
2018/06/28 | 1,532 | 5,431 | <issue_start>username_0: I just read about deep Q-learning, which is using a neural network for the value function instead of a table.
I saw the example here: [Using Keras and Deep Q-Network to Play FlappyBird](https://yanpanlau.github.io/2016/07/10/FlappyBird-Keras.html) and he used a CNN to get the Q-value.
My conf... |
2018/06/28 | 930 | 3,712 | <issue_start>username_0: In traditional computer vision and computer graphics, the pose matrix is a $4 \times 4$ matrix of the form
$$
\begin{bmatrix}
r\_{11} & r\_{12} & r\_{12} & t\_{1} \\
r\_{21} & r\_{22} & r\_{22} & t\_{2} \\
r\_{31} & r\_{32} & r\_{32} & t\_{3} \\
0 & 0 & 0 & 1
\end{bmatrix}
$$
and is a trans... |
2018/06/28 | 822 | 3,054 | <issue_start>username_0: Let's suppose I have an image with 16 channels that goes to a convolutional layer, which has 3 trainable $7 \times 7$ filters, so the output of this layer has depth 3.
How does the convolutional layer go from 16 to 3 channels? What mathematical operation is applied?<issue_comment>username_1: T... |
2018/06/29 | 660 | 3,141 | <issue_start>username_0: In image classification we are generally told the main reason of using CNN's is that densely connected NN's cannot handle so many parameters (10 ^ 6 for a 1000 \* 1000 image). My question is, is there any other reason why CNN's are used over DNN's (densely connected NN)?
Basically if we have ... |
2018/06/29 | 2,277 | 9,646 | <issue_start>username_0: I am learning about Monte Carlo algorithms and struggling to understand the following:
* If simulations are based on random moves, how can the modeling of the opponent's behavior work well?
For example, if I have a node with 100 children, 99 of which lead to an instant WIN, whereas the last o... |
2018/07/01 | 1,334 | 6,122 | <issue_start>username_0: What does it mean when it is said that Machine Learning algorithm results can be "generalized"?
I don't understand what "generalized" algorithms, routines or functions are.
I have searched dictionaries and glossaries, and cannot find an explanation. Also, if anyone can tell me where a good ... |
2018/07/01 | 490 | 2,036 | <issue_start>username_0: I want to detect drivers with or without seatbelts at crossroads. For that, as it is real-time, I am going to use the YOLO algorithm/model. For training data sets (the images) I need to collect, I placed a camera. By recording it and collecting images from there, I am getting images with more n... |
2018/07/03 | 641 | 2,673 | <issue_start>username_0: I have a dataset of unlabelled emails that fall into distinct categories (around a dozen). I want to be able to classify them along with new ones to come in the future in a dynamic matter. I know that there are dynamic clustering techniques that allow the clusters to evolve over time ('dynamic-... |
2018/07/03 | 1,000 | 3,411 | <issue_start>username_0: I am familiar with supervised and unsupervised learning. I did the SaaS course done by <NAME> on Coursera.org.
I am looking for something similar for reinforcement learning.
Can you recommend something?<issue_comment>username_1: Before that ask yourself if you really want to learn about "rein... |
2018/07/04 | 2,629 | 10,610 | <issue_start>username_0: Most humans are not good at chess. They can't write symphonies. They don't read novels. They aren't good athletes. They aren't good at logical reasoning. Most of us just get up. Go to work in a factory or farm or something. Follow simple instructions. Have a beer and go to sleep.
What are some... |
2018/07/05 | 587 | 2,233 | <issue_start>username_0: Typical AI these days are question-answering machines. For example, Siri, Alexa and Google Home. But it is always the human asking the questions and the AI answering.
Are there any good examples of an AI that is curious and asks questions of its own accord?<issue_comment>username_1: You are r... |
2018/07/06 | 2,701 | 11,990 | <issue_start>username_0: Are there possible models that have the potential to replace neural networks in the near future?
And do we even need that? What is the worst thing about using neural networks in terms of efficiency?<issue_comment>username_1: Neural networks require lots of data and training. For most tabular ... |
2018/07/07 | 2,767 | 12,233 | <issue_start>username_0: I am very new to machine learning. I am following the course offered by <NAME>. I am very confused about how we train our neural network for multi-class classification.
Let's say we have $K$ classes. For $K$ classes, we will be training $K$ different neural networks.
But do we train one neura... |
2018/07/08 | 1,230 | 5,517 | <issue_start>username_0: A neural network is usually programmed to learn from datasets to solve a specific problem. Essentially, they perform non-linear regression.
*Could a neural network be programmed to receive input from a human, like a terminal, to begin to grow and learn (similar to how a child learns)?*
A prog... |
2018/07/09 | 1,219 | 5,023 | <issue_start>username_0: I choose the activation function for the output layer depending on the output that I need and the properties of the activation function that I know. For example, I choose the *sigmoid* function when I'm dealing with probabilities, a *ReLU* when I'm dealing with positive values, and a linear fun... |
2018/07/09 | 343 | 1,383 | <issue_start>username_0: I am training LSTM neural networks with Keras on a small mobile GPU. The speed on the GPU is slower than on the CPU. I found some articles that say that it is hard to train LSTMs (and, in general, RNNs) on GPUs because the training cannot be parallelized.
Is this true? Is LSTM training on larg... |
2018/07/10 | 380 | 1,615 | <issue_start>username_0: We have AI's predicting images, predicting objects in an image. Understanding audio, meaning of the audio if it is a spoken sentence.
In humans when we start seeing a movie halfway through, we still understand the entire movie (although this might be attributed to the fact that future events i... |
2018/07/10 | 555 | 2,099 | <issue_start>username_0: [Maxout networks](https://arxiv.org/abs/1302.4389) were a simple yet brilliant idea of Goodfellow et al. from 2013 to max feature maps to get a universal approximator of convex activations. The design was tailored for use in conjunction with dropout (then recently introduced) and resulted of co... |
2018/07/12 | 1,352 | 5,609 | <issue_start>username_0: Lets say I have a list of **100k medical cases** from my hospital, **each row = patient** with symptoms (such as **fever** , **funny smell**, **pain** etc.. ) and my labels are medical conditions such as **Head trauma**, **cancer** , etc..
The patient come and say *"I have fever"* and I need ... |
2018/07/16 | 1,408 | 5,958 | <issue_start>username_0: How do I choose the best algorithm for a board game like checkers?
So far, I have considered only three algorithms, namely, minimax, alpha-beta pruning, and Monte Carlo tree search (MCTS). Apparently, both the alpha-beta pruning and MCTS are extensions of the basic minimax algorithm.<issue_com... |
2018/07/19 | 1,186 | 4,563 | <issue_start>username_0: I'm trying to create and test non-linear SVMs with various kernels (RBF, Sigmoid, Polynomial) in scikit-learn, to create a model which can classify anomalies and benign behaviors.
My dataset includes 692703 records and I use a 75/25% training/testing split. Also, I use various combinations of ... |
2018/07/20 | 2,018 | 8,782 | <issue_start>username_0: In the brain, some synapses are stimulating and some inhibiting. In the case of artificial neural networks, ReLU erases that property, since in the brain inhibition doesn't correspond to a 0 output, but, more precisely, to a negative input.
In the brain, the positive and negative potential is ... |
2018/07/20 | 1,434 | 5,783 | <issue_start>username_0: first of all I want to specify the data available and what needs to be achieved: I have a huge amount of vacancies (in the millions). The information about the **job title** and the **job description** of each vacancy are stored separately. I also have a **list of professions** (around 3000), t... |
2018/07/22 | 3,474 | 14,125 | <issue_start>username_0: Is it possible to make a neural network that uses only integers by scaling input and output of each function to [-INT\_MAX, INT\_MAX]? Is there any drawbacks?<issue_comment>username_1: It is possible in principle, but you will end up emulating floating point arithmetic using integers in multipl... |
2018/07/22 | 495 | 2,145 | <issue_start>username_0: I would like to know if having a really good evaluation function is as good as using any of the extensions of alpha-beta pruning, such as killer moves or quiescence search?<issue_comment>username_1: A perfect evaluation function would mean that you only had to do a local search - i.e. maximise ... |
2018/07/23 | 951 | 4,163 | <issue_start>username_0: As it can be easily pointed out that true random numbers cannot be generated fully by programming and some random seed is required.
On the other hand, humans can easily generate any random number independently of other factors.
Does this suggest that absolute random number generation is an AI... |
2018/07/30 | 2,810 | 12,131 | <issue_start>username_0: I want suggestions on literature on Reinforcement Learning algorithms that perform well with **asynchronous feedback** from the environment. What I mean by asynchronous feedback is, when an agent performs an action it gets feedback(reward or regret) from the environment after sometime not immed... |
2018/07/30 | 279 | 1,137 | <issue_start>username_0: I want to implement a real-time system for image comparison (e.g. compare a face with a reference one) on an Odroid. I would like to know what are the most suitable architectures for this task. I started with methods based on triplet loss (like Facenet) but I realized that a real-time solution ... |
2018/07/30 | 1,996 | 8,123 | <issue_start>username_0: What are the mathematical prerequisites for understanding the core part of various algorithms involved in artificial intelligence and developing one's own algorithms?
Please, refer to some specific books.<issue_comment>username_1: **Good Mathematics Foundation**
Begin by ensuring full compete... |
2018/07/31 | 966 | 3,615 | <issue_start>username_0: I'm now learning about reinforcement learning, but I just found the word "trajectory" in [this answer](https://datascience.stackexchange.com/a/24924/8432).
However, I'm not sure what it means. I read a few books on the Reinforcement Learning but none of them mentioned it. Usually these introdu... |
2018/07/31 | 918 | 3,616 | <issue_start>username_0: In doing a project using neural networks with an input layer, 4 hidden layers and an output layer ,I used mini batch gradient descent. I noticed that the randomly initialised weights seemed to do a good performance and gave a low error. As the model started training after about 200 iterations t... |
2018/07/31 | 454 | 1,788 | <issue_start>username_0: Does an AI exist that can automatically write software based on a formal specification of the software?<issue_comment>username_1: I think that the answer to your question is yes. In the article [New A.I. application can write its own code](https://www.futurity.org/artificial-intelligence-bayou-... |
2018/08/01 | 438 | 1,929 | <issue_start>username_0: Is it possible to build a neural network that learns the connection between two images?
Let's say I have a number of X images that related to Y images. How can I build a neural network that takes an image as an input and outputs (generates) the output image?
The Y images are generated by appl... |
2018/08/01 | 454 | 1,789 | <issue_start>username_0: I need to train a convolutional neural network to classify snake images. The problem is that I have only a small number of images available for some snake types.
So, what is the best approach to train a neural network for image classification using a small data set?<issue_comment>username_1: U... |
2018/08/02 | 1,931 | 7,929 | <issue_start>username_0: Can we make a chatbot that really "understands" (rather than just replies to) questions based on the database/options of replies that it has? I mean, can it come up with correct/non-stupid replies/communications that don't exist in its database?
For example, can we make it understand the words... |
2018/08/02 | 1,524 | 5,417 | <issue_start>username_0: I'm struggling to understand the difference between actor-critic and advantage actor-critic.
At least, I know they are different from asynchronous advantage actor-critic (A3C), as A3C adds an asynchronous mechanism that uses multiple worker agents interacting with their own copy of the environ... |
2018/08/02 | 1,137 | 4,717 | <issue_start>username_0: What is a support vector machine (SVM)? Is an SVM a kind of a neural network, meaning it has nodes and weights, etc.? What is it best used for?
Where I can find information about these?<issue_comment>username_1: I find the chapter on machine learning from [Russell & Norvig](https://rads.stacko... |