date stringlengths 10 10 | nb_tokens int64 60 629k | text_size int64 234 1.02M | content stringlengths 234 1.02M |
|---|---|---|---|
2018/01/20 | 1,104 | 2,916 | <issue_start>username_0: In the [delta rule][1] the equation to adjust the weight with respect to error is
$$w\_{(n+1)}=w\_{(n)}-\alpha \times \frac{\partial E}{\partial w}$$
\*where $\alpha$ is the learning rate and $E$ is the error.
The graph for $E$ vs $w$ would look like the one below with $E$ in the $y$ axis an... |
2018/01/22 | 1,434 | 4,988 | <issue_start>username_0: I am trying to build a neural network that takes in a single string, ex: "dog" as an input, and outputs 50 or so related hashtags such as, "#pug, #dogsarelife, #realbff".
I have thought of using a classifier, but because there is going to be millions of hashtags to choose the optimal one from,... |
2018/01/22 | 1,568 | 5,606 | <issue_start>username_0: Forgive what might be a basic question. I'm just experimenting with ML / AL and I have a small problem set and I'd like to see if it can be solved with ML / AI. Basically, given a set of objects with multiple features, I'd like to create a process for recommending one automatically to a user.
... |
2018/01/22 | 2,347 | 10,404 | <issue_start>username_0: I am trying to develop a neural network which can identify design features in CAD models (i.e. slots, bosses, holes, pockets, steps).
The input data I intend to use for the network is a n x n matrix (where n is the number of faces in the CAD model). A '1' in the top right triangle in the matri... |
2018/01/23 | 2,219 | 9,746 | <issue_start>username_0: I am new to machine learning and AI, so forgive me if this is obvious. I was talking with a friend on how to solve this problem, and neither of us could figure out how to do it.
Say I have a grid area of 100x100 blocks, and I want a robot to build a horizontal 100x100 grid, and 3 blocks high. ... |
2018/01/23 | 1,476 | 5,089 | <issue_start>username_0: Below is a quote from [CS231n](https://cs231n.github.io/convolutional-networks/):
>
> Prefer a stack of small filter CONV to one large receptive field CONV layer. Suppose that you stack three 3x3 CONV layers on top of each other (with non-linearities in between, of course). In this arrangemen... |
2018/01/23 | 460 | 2,005 | <issue_start>username_0: I want to develop (in Java) a voice plugin for Eclipse on a Mac that helps me jot down high-level classes and stub methods. For example, I would like to command it to create a class that inherits from `X` and add a method that returns `String`.
Could somebody help me point out the right materi... |
2018/01/24 | 931 | 3,423 | <issue_start>username_0: Before I start, I want to let you know that I am completely new to the field of deep learning! Since I need a new graphics card either way (gaming you know) I am thinking about buying the GTX 1060 with 6GB or the 1070 ti with 8GB. Because I am not rich, basically I am a pretty poor student ;), ... |
2018/01/24 | 1,029 | 3,770 | <issue_start>username_0: Imagine two languages that have only these words:
```
Man = 1,
deer = 2,
eat = 3,
grass = 4
```
And you would form all sentences possible from these words:
```
Man eats deer.
Deer eats grass.
Man eats.
Deer eats.
```
German:
```
Mensch = 5,
Gras = 6,
isst = 7,
Hirsch = 8
```
Possib... |
2018/01/24 | 669 | 2,701 | <issue_start>username_0: As many papers point out, for better learning curve of a NN, it is better for a data-set to be normalized in a way such that values match a Gaussian curve.
Does this process of feature normalization apply only if we use sigmoid function as squashing function? If not what deviation is best for ... |
2018/01/27 | 793 | 3,351 | <issue_start>username_0: At some point in time during the evolution, because of some factors, some beings first started to become conscious of themselves and their surroundings. That conscious experience is beyond some mere sensory reflexive actions trained. Can that be possible with AI?<issue_comment>username_1: Curre... |
2018/01/28 | 564 | 2,165 | <issue_start>username_0: I have started to make a chatbot. It has a list of greetings that it understands and responds to with its own list of greetings.
How could a bot learn a new greeting or a synonym for a word it already knows?<issue_comment>username_1: There is pretty simple way:
Write a program that analyzes la... |
2018/01/28 | 1,560 | 6,474 | <issue_start>username_0: A human player plays limited games compared to a system that undergoes millions of iterations. Is it really fair to compare AlphaGo with the world #1 player when we know experience increases with the increase in number of games played?<issue_comment>username_1: Yes it is. If we ever compare com... |
2018/01/28 | 749 | 2,911 | <issue_start>username_0: I read about minimax, then alpha-beta pruning, and then about iterative deepening. Iterative deepening coupled with alpha-beta pruning proves to quite efficient as compared to alpha-beta alone.
I have implemented a game agent that uses iterative deepening with alpha-beta pruning. Now, I want t... |
2018/01/28 | 690 | 2,655 | <issue_start>username_0: So, I have seen few pictures re-created by a Neural Network or some other Machine Learning algorithm after it has been trained over a data set.
How, exactly is this done? How are the weights converted back into a picture or a memory which a Neural Net is holding?
A real life example would be ... |
2018/01/30 | 582 | 2,233 | <issue_start>username_0: I would like to do some practical implementation of a planning algorithm (of course, something a bit simple and easy).
Is there any website where I can pick an algorithm (e.g. A\* or hill climbing), code it, and visualize how it works/executes?
The site doesn't necessarily need to be restrict... |
2018/02/02 | 647 | 2,972 | <issue_start>username_0: If I train a speech recognition model using data collected from N different microphones, but deploy it on an unseen (test) microphone - does it impact the accuracy of the model?
While I understand that theoretically an accuracy loss is likely, does anyone have any practical experience with th... |
2018/02/05 | 1,040 | 4,125 | <issue_start>username_0: It was [recently brought to my attention](https://ai.stackexchange.com/questions/5220/what-was-the-average-decision-speed-pf-alpha-zero-in-the-recent-stockfish-match/5222?noredirect=1#comment7698_5222) that Chess experts took the outcome of this now famous match as something of an upset.
See:... |
2018/02/06 | 1,696 | 6,378 | <issue_start>username_0: Whenever I read any book about neural networks or machine learning, their introductory chapter says that we haven't been able to replicate the brain's power due to its massive parallelism.
Now, in modern times, transistors have been reduced to the size of nanometers, much smaller than the nerv... |
2018/02/07 | 725 | 3,281 | <issue_start>username_0: For instance, the title of [this paper](https://arxiv.org/abs/1611.01224) reads: "Sample Efficient Actor-Critic with Experience Replay".
What is *sample efficiency*, and how can *importance sampling* be used to achieve it?<issue_comment>username_1: An algorithm is **sample efficient** if it ca... |
2018/02/08 | 693 | 3,034 | <issue_start>username_0: Once the artificially intelligent machines are able to identify objects, we might want to teach them how to value different things differently based on their utility, demand, life, etc. How can we accomplish this and how did we start to value things?<issue_comment>username_1: You have asked two... |
2018/02/10 | 502 | 2,224 | <issue_start>username_0: I'm trying to implement some image super-resolution models on medical images. After reading a set of papers, I found that none of the existing models use any activation function for the last layer.
What's the rationale behind that?<issue_comment>username_1: As discussed here:
<https://www.res... |
2018/02/10 | 631 | 2,830 | <issue_start>username_0: I'm wondering if these 2 specific programs already exist and if not how hard would it be to write them:
1. A program that would figure out (by only "reading" large amounts of texts in human language 1 and 2) which words in second language have the same meaning as a word in first language. You ... |
2018/02/11 | 1,485 | 6,121 | <issue_start>username_0: What are the current theories on the development of a conscious AI? Is anyone even trying to develop a conscious AI?
Is it possible that consciousness is an emergent phenomenon, that is, once we put enough complexity into our system, it will become self-aware?<issue_comment>username_1: To answ... |
2018/02/14 | 1,178 | 3,571 | <issue_start>username_0: [Greedy algorithms](https://en.wikipedia.org/wiki/Greedy_algorithm) are well known, and although useful in a local context for certain problems, and even potentially find general, global optimal solutions, they nonetheless trade optimality for shorter-term payoffs.
This seems to me a good anal... |
2018/02/14 | 2,296 | 9,450 | <issue_start>username_0: I'm interested in working on challenging AI problems, and after reading this article (<https://deepmind.com/blog/deepmind-and-blizzard-open-starcraft-ii-ai-research-environment/>) by DeepMind and Blizzard, I think that developing a robust AI capable of learning to play Starcraft 2 with superhum... |
2018/02/15 | 919 | 4,004 | <issue_start>username_0: I have been trying to use CNN for a regression problem. I followed the standard recommendation of disabling dropout and overfitting a small training set prior to trying for generalization. With a 10 layer deep architecture, I could overfit a training set of about 3000 examples. However, on addi... |
2018/02/15 | 1,170 | 4,917 | <issue_start>username_0: This is a kind of biological and philosophical question. So, the recent concern in AI is that an AI agent may go rogue with prominent people voicing their concerns.
Now say, we have created an AI (you are free to use your own definition of what makes an AI intelligent) which has gone rogue wit... |
2018/02/15 | 826 | 3,487 | <issue_start>username_0: I was reading <NAME>'s a [Critical Appraisal of Deep Learning](https://arxiv.org/abs/1801.00631). One of his criticisms is that neural networks don't incorporate prior knowledge in tackling a problem. My question is: have there been any attempts at encoding prior knowledge in deep neural networ... |
2018/02/15 | 628 | 2,363 | <issue_start>username_0: I have completed week 1 of Andrew Ng's course. I understand that the cost function for linear regression is defined as $J (\theta\_0, \theta\_1) = 1/2m\*\sum (h(x)-y)^2$ and the $h$ is defined as $h(x) = \theta\_0 + \theta\_1(x)$. But I don't understand what $\theta\_0$ and $\theta\_1$ represen... |
2018/02/16 | 648 | 2,431 | <issue_start>username_0: What are examples of simple problems and applications that can be solved with AI techniques, for a beginner who is trying to make use of his basic programming skills into AI at the beginning level?<issue_comment>username_1: This is fairly boilerplate advice, but, since you're brand new to AI, I... |
2018/02/19 | 485 | 1,515 | <issue_start>username_0: I am implementing a feed-forward neural network with leaky ReLU activation functions and back-propagation from scratch. Now, I need to compute the partial derivatives, but I don't know what the derivative of the Leaky ReLU is.
Here is the C# code for the leaky RELU function which I got from [t... |
2018/02/20 | 393 | 1,208 | <issue_start>username_0: I have a map. I need to colour it with $k$ colours, such that two adjacent regions do not share a colour.
How can I formulate the map colouring problem as a hill climbing search problem?<issue_comment>username_1: The ReLU function has a parameter that determines the slope of the function when... |
2018/02/22 | 881 | 2,957 | <issue_start>username_0: I am absolutely new in the AI area.
I would like to know how to mathematically/logically represent the **sense** of sentences like:
1. The cat drinks milk.
2. Sun is yellow.
3. I was at work yesterday.
So, that it could be converted to computer understandable form and analysed algorithmicall... |
2018/02/22 | 696 | 2,697 | <issue_start>username_0: I have read somewhere on the web (I lost the reference) that the number of units (or neurons) in a hidden layer should be a power of 2 because it helps the learning algorithm to converge faster.
Is this a fact? If it is, why is this true? Does it have something to do with how the memory is lai... |
2018/02/23 | 529 | 2,255 | <issue_start>username_0: How is it that a word embedding layer (say word2vec) brings more insights to the neural network compared to a simple one-hot encoded layer?
I understand how the word embedding carries some semantic meaning, but it seems that this information would get "squashed" by the activation function, lea... |
2018/02/23 | 966 | 3,599 | <issue_start>username_0: Could you please provide some insight into the current stage of developments in AGI area? Are there any projects that had breakthroughs recently? Maybe some news source to follow on this topic?<issue_comment>username_1: The state of AGI research is pursuing the few problems that we have been ab... |
2018/02/23 | 562 | 2,442 | <issue_start>username_0: (Gross Oversimplification) Neural Networks model systems, black boxes with a set of inputs, and a set of outputs. To train a network for modeling this system, obtain hundreds (or millions) of possible inputs/output pairs. This is called the data set, and the network and its optimization algorit... |
2018/02/24 | 1,344 | 5,610 | <issue_start>username_0: If possible consider the relationship between implementation difficulty and accuracy in voice examples or simply chat conversations.
And currently, what are the directions on algorithms like Deep Learning or others to solve this.<issue_comment>username_1: You might want to take the Stanford On... |
2018/02/25 | 911 | 3,426 | <issue_start>username_0: Is there a way for people outside of the core research community of AGI to contribute to the cause?
There are a lot of people interested in supporting the field, but there is no clear way to do that. Is there something like [BOINC](https://boinc.berkeley.edu) for AGI researches, or open projec... |
2018/02/25 | 1,287 | 5,428 | <issue_start>username_0: If the game had a variable speed and was essential in evolution/gaining score(IDK AI terminologies). Would the AI be able to figure out when to slow down and speed up?
If it is able to solve the problem or complete the level, will it have an equation to relating acceleration, or perhaps a numb... |
2018/02/27 | 1,754 | 7,076 | <issue_start>username_0: The situation
=============
I am referring to the paper [<NAME> et al, "Continuous control with deep reinforcement learning"](https://arxiv.org/abs/1509.02971) where they discuss deep learning in the context of continuous action spaces ("Deep Deterministic Policy Gradient").
Based on the DPG ... |
2018/02/28 | 874 | 3,059 | <issue_start>username_0: I'd like to generate subtitles for a silent film. Is there an open source project out there capable of creating captions based on a series of images (such as a scene from a movie)?
EDIT: thanks for the comments below. To clarify, what i'm looking for is an algorithm which can generate a captio... |
2018/03/01 | 754 | 3,410 | <issue_start>username_0: As far as I understand, neural networks aren't good at classifying 'unknowns', i.e. objects that do not belong to a learned class. But how do face detection/recognition approaches usually determine that no face is detected/recognised in a region? Is the predicted probability somehow thresholded... |
2018/03/02 | 4,080 | 15,742 | <issue_start>username_0: It is said that activation functions in neural networks help introduce ***non-linearity***.
* What does this mean?
* What does ***non-linearity*** mean in this context?
* How does the introduction of this ***non-linearity*** help?
* Are there any other purposes of ***activation functions***?<i... |
2018/03/03 | 871 | 3,599 | <issue_start>username_0: Does NEAT require only connection genes to be marked with a global innovation number?
From the [NEAT paper](http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf)
>
> Whenever a new gene appears (through structural mutation), a global innovation number is incremented and assigned to tha... |
2018/03/03 | 504 | 1,786 | <issue_start>username_0: In the add node mutation, the connection between two chosen nodes (e.g. A and B) is first disabled and then a new node is created between A and B with their respective two connections.
I guess that the former A-B connection can be re-enabled via crossover (is it right?).
Can the former A-B ... |
2018/03/04 | 664 | 2,425 | <issue_start>username_0: I am seeking the information for this kind of chatbot architecture : There are two chatbots. One plays the role of teacher, and another is a student who is learning. The goal is to test the student's quality, and to improve the student's ability.
I didn't find much reference. There are :
[Bot... |
2018/03/06 | 691 | 2,625 | <issue_start>username_0: Google Analytics allows me to collect data about every web-session. For simplicity, let's assume for each user, we collect the number of pages and time spent on site for each session:
```
user_id visit_id page_views time_spent result
1 1 10 100 0
1 2 31... |
2018/03/06 | 1,001 | 4,229 | <issue_start>username_0: There are a lot of papers that show that neural networks can approximate a wide variety of functions. However, I can't find papers that show the limitations of NNs.
What are the limitations of neural networks? Which functions can't neural networks learn efficiently (or using gradient-descent)... |
2018/03/06 | 2,501 | 9,980 | <issue_start>username_0: I've seen these terms thrown around this site a lot, specifically in the tags [convolutional-neural-networks](/questions/tagged/convolutional-neural-networks "show questions tagged 'convolutional-neural-networks'") and [neural-networks](/questions/tagged/neural-networks "show questions tagged '... |
2018/03/07 | 2,431 | 9,711 | <issue_start>username_0: Let us for these purposes say with are working with any feed forward neural network.
Let us also say, that we know beforehand that certain portion of our dataset arsignificantly more impactful or important to our underlying representation. Is there anyway to add that “weighting” to our data?<i... |
2018/03/07 | 844 | 3,337 | <issue_start>username_0: I have an idea about how to use neural networks but I'm not sure if it is possible or not.
In supervised learning we have a set of attributes labeled with an output value. I can use these set to train my network.
Now I have a network trained to get an output value from an random set of attrib... |
2018/03/08 | 2,330 | 9,348 | <issue_start>username_0: I am working on a js library which focuses on error handling. A part of the lib is a stack parser which I'd like to work in most of the environments.
The hard part that there is no standard way to represent the stack, so every environment has its own stack string format. The variable parts ar... |
2018/03/08 | 446 | 1,453 | <issue_start>username_0: In multivariate linear regression (linear regression with more than one variable) the model is $yi = b\_0 + b\_1x\_{1i} + b\_2x\_{2i} + ...$ , and so on. But how is the $b\_n$ value calculated iteratively? Can it be calculated non-iteratively? What is the intuition behind using that method to c... |
2018/03/14 | 1,293 | 4,369 | <issue_start>username_0: The result of gradient descent algorithm is a vector. So how does this algorithm decide the direction for weight change? We Give hyperparameters for step size. But how is the vector direction for weight change, for the purpose of reducing the Loss function in a Linear Regression Model, determin... |
2018/03/14 | 698 | 3,236 | <issue_start>username_0: I am trying to understand the difference between biological and artificial evolution. If we look at it in terms of genetics, in both of them, the selection operation is a key term.
What's the difference between biological and artificial evolution?<issue_comment>username_1: Biological and artif... |
2018/03/15 | 602 | 2,704 | <issue_start>username_0: I am not clear with the concept that an unsupervised model learns. We are giving an input and output to the supervised model, so that it can generate a particular value, pattern or something out of it which can be used to categorize something in the future. By contrast, in unsupervised learning... |
2018/03/15 | 518 | 1,781 | <issue_start>username_0: I asked my self this simple question while reading ["Comment Abuse Classification with Deep Learning"](https://web.stanford.edu/class/cs224n/reports/2762092.pdf) by Chu and Jue. Indeed, they say at the end of the that
>
> *It is clear that RNNs, specifically LSTMs, and CNNs are state-of-the-... |
2018/03/15 | 266 | 875 | <issue_start>username_0: I'm reading [the AlexNet paper](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks). In section 4, where the authors explain how they prevent overfitting, they mention
>
> Although the 1000 classes of ILSVRC make each training example impose 10 ... |
2018/03/18 | 2,389 | 8,104 | <issue_start>username_0: Suppose that a NN contains $n$ hidden layers, $m$ training examples, $x$ features, and $n\_i$ nodes in each layer. What is the time complexity to train this NN using back-propagation?
I have a basic idea about how they find the time complexity of algorithms, but here there are 4 different fac... |
2018/03/21 | 1,801 | 7,900 | <issue_start>username_0: My goal is to take an image and return another image that looks as if the scene was viewed from another angle. The difference in angle can be small — let's say as if the hand holding the camera moved slightly sideways.<issue_comment>username_1: If deep learning is what you are trying to use her... |
2018/03/22 | 4,995 | 17,385 | <issue_start>username_0: My understanding is that the convolutional layer of a convolutional neural network has four dimensions: `input_channels, filter_height, filter_width, number_of_filters`. Furthermore, it is my understanding that each new filter just gets convoluted over ALL of the `input_channels` (or feature/ac... |
2018/03/22 | 701 | 2,436 | <issue_start>username_0: I read that to compute the derivative of the error with respect to the input of a convolution layer is the same to make of a convolution between deltas of the next layer and the weight matrix rotated by $180°$, i.e. something like
$$\delta^l\_{ij}=\delta^{l+1}\_{ij} \* rot180(W^{l+1})f'(x^l\_{... |
2018/03/26 | 628 | 2,512 | <issue_start>username_0: Suppose one trains a CNN to determine if something was either a cat/dog or neither (2 classes), would it be a good idea to assign all cats and dogs to one class and everything else to another? Or would it be better to have a class for cats, a class for dogs, and a class for everything else (3 c... |
2018/03/27 | 640 | 2,608 | <issue_start>username_0: Suppose a CNN is trained to detect bounding box of a certain type of object (people, cars, houses, etc.)
If each image in the training set contains just one object (and its corresponding bounding box), how well can a CNN generalize to pick up all objects if the input for prediction contains mu... |
2018/03/30 | 1,832 | 6,290 | <issue_start>username_0: How can I train a neural network to recognize sub-sequences in a sequence flow?
For example: Given the sequence **111100002222** as an input sample from a stream, the neural network would recognize that **1111** , **0000** , **2222** are sub sequences (so **111100** would not be a valid subseq... |
2018/03/30 | 1,723 | 7,580 | <issue_start>username_0: There are problems (e.g. [this one](https://ai.stackexchange.com/q/4859/2444) or [this other one](https://ai.stackexchange.com/q/5838/2444)) that could potentially be solved easily using traditional algorithmic techniques. I think that training a neural network (or any other machine learning mo... |
2018/04/01 | 595 | 2,303 | <issue_start>username_0: I have a neural network with 2 inputs and one output, like so:
```
input | output
____________________
a | b | c
5.15 |3.17 | 0.0607
4.61 |2.91 | 0.1551
```
etc.
I have 75 samples and I am using 50 for training and 25 for testing.
However, I feel that the training sample... |
2018/04/01 | 790 | 3,612 | <issue_start>username_0: Deep networks notoriously take a long time to train.
What is the most time-consuming aspect of training them? Is it the matrix multiplications? Is it the forward pass? Is it some component of the backward pass?<issue_comment>username_1: There is no such single hard and slow step in training n... |
2018/04/03 | 1,740 | 6,301 | <issue_start>username_0: Can we detect the emotions (or feelings) of a human through conversations with an AI?
Something like a "confessional", disregarding human possibilities to lie.
Below, I have the categories joyful, sadness, anger, fear and affection. For each category, there are several words that can be in th... |
2018/04/04 | 2,095 | 9,162 | <issue_start>username_0: [A question about swarm intelligence as a potential method of strong general AI](https://ai.stackexchange.com/q/5258/2444) came up recently, and yielded some useful answers and clarifications regarding the nature of swarm intelligence. But it got me thinking about "group intelligence" in genera... |
2018/04/04 | 1,581 | 7,227 | <issue_start>username_0: In the search tree below, there are 11 nodes, 5 of which are leaves. There are 10 branches.
[](https://i.stack.imgur.com/MCRn3.png)
Is the average branching factor given by 10/6, or 10/11?
Are leaves included in the calculation? Intuitively,... |
2018/04/05 | 885 | 3,564 | <issue_start>username_0: In a nutshell: I want to understand why a one hidden layer neural network converges to a good minimum more reliably when a larger number of hidden neurons is used. Below a more detailed explanation of my experiment:
I am working on a simple 2D XOR-like classification example to understand the ... |
2018/04/06 | 348 | 1,359 | <issue_start>username_0: When training on large neural network, how to deal with the case that the gradients are too small to have any impact?
FYI, I have an RNN, which has multiple LSTM cells and each cell has hundreds of neurons. Each training data has thousands of steps, so the RNN would unroll thousands of times. ... |
2018/04/07 | 1,597 | 6,655 | <issue_start>username_0: With the growing ability to cheaply create fake pictures, fake soundbites, and fake video there becomes an increasing problem with recognizing what is real and what isn't. Even now we see a number of examples of applications that create fake media for little cost (see [Deepfake](https://en.wiki... |
2018/04/07 | 518 | 2,227 | <issue_start>username_0: I have two classes in the training set: one that has images with a feature and the other of images without that feature.
Can there be a LOT more images with "no feature" so I can fit in all possible false positives?<issue_comment>username_1: Your question is very general so therefore, in this c... |
2018/04/08 | 355 | 1,608 | <issue_start>username_0: In time Series prediction, we have a stream of vectors. There are different approaches for accounting for the temporal patterns between these vectors.
There's two that I'm considering. An LSTM or augmenting the feature space. What's the difference between the two? The most obvious to me is tha... |
2018/04/08 | 2,070 | 8,923 | <issue_start>username_0: I've heard multiple times that "Neural Networks are the best approximation we have to model the human brain", and I think it is commonly known that Neural Networks are modelled after our brain.
I strongly suspect that this model has been simplified, but how much?
How much does, say, the vani... |
2018/04/09 | 827 | 3,408 | <issue_start>username_0: The problem to solve is non-linear regression of a non-linear function. My actual problem is to model the function "find the max over many quadratic forms": `max(w.H.T * Q * w)`, but to get started and to learn more about neural networks, I created a toy example for a non-linear regression task... |
2018/04/09 | 417 | 1,897 | <issue_start>username_0: YouTube has a huge amount of videos, many of which also containing various spoken languages. This would presumably provide something like the data that a "challenged" baby would experience - "challenged" meaning a baby without arms or legs (unfortunately many people are born that way).
Would ... |
2018/04/09 | 1,191 | 5,601 | <issue_start>username_0: I'm studying reinforcement learning. It seems that "state" and "observation" mean exactly the same thing. They both capture the current state of the game.
Is there a difference between the two terms? Is the observation maybe the state after the action has been taken?<issue_comment>username_1:... |
2018/04/10 | 1,247 | 5,791 | <issue_start>username_0: I want to be able to input a block of text and then have it guess a string within a predefined range (i.e. a string that starts with three letters and ends with five numbers like "XXX12345", etc). Ideally, the string it will be guessing will be somewhere in the block of text, but sometimes it w... |
2018/04/11 | 1,349 | 6,154 | <issue_start>username_0: There are two textbooks that I most love and am most afraid of in the world: *Introduction to Algorithms by Cormen* et al. and *Artificial Intelligence: A Modern Approach by Norvig* et al. I have started the "AI: A Modern Approach" more than once, but the book is so dense and full of theory tha... |
2018/04/13 | 810 | 3,080 | <issue_start>username_0: If we model the game '2048' using a max-min game tree, what is the maximal path from a start state to a terminal state? (Assume the game ends only when the board is full.)
This is one of the sub-questions that should prepare us to actually modeling the game as a max-min game tree. However, I'm... |
2018/04/14 | 2,581 | 11,046 | <issue_start>username_0: As I've thought about AI, and what I understand of the problems that we face in the creation of it, I've noticed a recurring pattern: we always seem to be asking ourselves, "how can we better simulate the brain?"
Why are we so fascinated with **simulating** it? Isn't our goal to create intelli... |
2018/04/16 | 2,557 | 10,894 | <issue_start>username_0: There is a popular story regarding the [back-of-the-envelope calculation](https://en.wikipedia.org/wiki/Back-of-the-envelope_calculation) performed by a British physicist named <NAME>. He used [dimensional analysis](http://www.atmosp.physics.utoronto.ca/people/codoban/PHY138/Mechanics/dimension... |
2018/04/18 | 642 | 2,507 | <issue_start>username_0: I have order data, here's a sample:
```
Ninety-six (96) covered pans, desinated mark cutlery.
5 vovered pans by knife co.
(SEE SCHEDULE A FOR NUMBERS). 757 SOUP PANS
115 10-quart capacity pots.
Thirteen (13), 30 mm thick covered pans.
```
I have over 50k rows of data such as this. In a perf... |
2018/04/18 | 1,716 | 7,313 | <issue_start>username_0: Does the human brain use a specific activation function?
I've tried doing some research, and as it's a threshold for whether the signal is sent through a neuron or not, it sounds a lot like ReLU. However, I can't find a single article confirming this. Or is it more like a step function (it sen... |
2018/04/18 | 1,873 | 8,040 | <issue_start>username_0: Imagine a game where it is a black screen apart from a red pixel and a blue pixel. Given this game to a human, they will first see that pressing the arrow keys will move the red pixel. The next thing they will try is to move the red pixel onto the blue pixel.
Give this game to an AI, it will r... |
2018/04/18 | 1,766 | 7,456 | <issue_start>username_0: In the [OpenAI's Machine Learning Fellow position](https://startup.jobs/3993-machine-learning-fellow-at-openai), it is written
>
> We look for candidates with one or more of the following credentials:
>
>
> * ...
> * Open-source reimplementations of deep learning algorithms which replicate ... |
2018/04/19 | 507 | 2,146 | <issue_start>username_0: I am working on an anti-fraud project. In the project, we are trying to predict the fraud user in the out time data set. But the fraud user has a very low ratio, only 3%. We expect a model with a precision more than 15%.
I tried Logistic Regression, GBDT+LR, xgboost. All models are not good en... |
2018/04/23 | 1,244 | 4,503 | <issue_start>username_0: Problem
=======
Given a collection of pairs (X, y) where X belongs to R^n and y belongs to R, find the X such that the associated y would be maximum.
Example
=======
Given:
* (X=(1, 2), y=-9)
* (X=(-2, 4), y=-36)
* (X=(-4, 2), y=-24)
* ...
The algorithm should be able to detect that the fu... |
2018/04/24 | 1,180 | 4,581 | <issue_start>username_0: I have implemented a neural network (NN) using python and numpy only for learning purposes. I have already coded learning rate, momentum, and L1/L2 regularization and checked the implementation with gradient checking.
A few days ago, I implemented batch normalization using the formulas provid... |
2018/04/24 | 1,086 | 4,716 | <issue_start>username_0: With so much innovation, with so much previous human manual labor being performed in minutes or seconds by an artificial intelligence, one day man will put the survival and propagation of his species above his ideologies and cultures.
I am worried because we are living the fourth industrial re... |
2018/04/24 | 485 | 2,180 | <issue_start>username_0: Semi-gradient methods work well in reinforcement learning, but what is there a reason of **not** using the true gradient if it can be computed?
I tried it on the cart pole problem with a deep Q-network and it performed much worse than traditional semi-gradient. Is there a concrete reason for ... |
2018/04/25 | 1,301 | 4,444 | <issue_start>username_0: I'm trying to understand what would be the best neural network for implementing an XOR gate. I'm considering a neural network to be good if it can produce all the expected outcomes with the lowest possible error.
It looks like my initial choice of random weights has a big impact on my end resu... |
2018/04/27 | 2,600 | 9,529 | <issue_start>username_0: I just want to know why do machine learning engineers and AI programmers use languages like Python to perform AI tasks and not C++, even though C++ is technically a more powerful language than Python.<issue_comment>username_1: You don't need a powerful language for programming AI. Most of the d... |
2018/04/28 | 1,228 | 5,404 | <issue_start>username_0: As far as I understand, Q-learning and policy gradients (PG) are the two major approaches used to solve RL problems. While Q-learning aims to predict the reward of a certain action taken in a certain state, policy gradients directly predict the action itself.
However, both approaches appear id... |
2018/05/01 | 2,890 | 11,046 | <issue_start>username_0: It is a new era and people are trying to evolve more in science and technology. Artificial Intelligent is one of the ways to achieve this. We have seen lots of examples for AI sequences or a simple "communication AI" that are able to think by themselves and they are often shifted to the communi... |