date stringlengths 10 10 | nb_tokens int64 60 629k | text_size int64 234 1.02M | content stringlengths 234 1.02M |
|---|---|---|---|
2018/08/03 | 1,454 | 5,941 | <issue_start>username_0: I'm now reading [the following blog post](https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-7-action-selection-strategies-for-exploration-d3a97b7cceaf) but on the epsilon-greedy approach, the author implied that the epsilon-greedy approach takes the action ra... |
2018/08/03 | 474 | 2,099 | <issue_start>username_0: I need to retrieve just the text from emails. The emails can be in HTML format, and can contain huge signatures, disclaimer legalese, and broken HTML from dozens of forwards and replies. But, I only want the actual email message and not any other cruft such as the whole quotation block, signatu... |
2018/08/03 | 699 | 2,965 | <issue_start>username_0: I'm building a deep neural network to serve as the policy estimator in an actor-critic reinforcement learning algorithm for a continuing (not episodic) case. I'm trying to determine how to explore the action space. I have read through [this text book](http://incompleteideas.net/book/the-book-2n... |
2018/08/04 | 1,390 | 5,081 | <issue_start>username_0: In [Introduction to Reinforcement Learning (2nd edition)](http://incompleteideas.net/book/RLbook2020.pdf) by Sutton and Barto, there is an example of the Pole-Balancing problem (Example 3.4).
In this example, they write that this problem can be treated as an *episodic task* or *continuing task... |
2018/08/04 | 1,770 | 6,919 | <issue_start>username_0: Imagine I have a list (in a computer-readable form) of all problems (or statements) and proofs that math relies on.
Could I train a neural network in such a way that, for example, I enter a problem and it generates a proof for it?
Of course, those proofs then needed to be checked manually, b... |
2018/08/04 | 2,239 | 9,622 | <issue_start>username_0: Do AI algorithms exist which are capable of healing themselves or regenerating a hurt area when they detect so?
For example: In humans if a certain part of brain gets hurt or removed, neighbouring parts take up the job. This happens probably because we are biologically unable to grow nerve cel... |
2018/08/05 | 848 | 3,099 | <issue_start>username_0: I am looking for books or to state of the art papers about current the **development** trends for a strong-AI.
Please, do not include opinions about the books, just refer the book with a brief description. To emphasize, I am not looking for books on applied AI (e.g. neural networks or the book... |
2018/08/06 | 1,926 | 7,665 | <issue_start>username_0: Having analyzed and reviewed a certain amount of articles and questions, apparently, the expression *computational intelligence* (CI) is not used consistently and it is still unclear the relationship between CI and artificial intelligence (AI).
According to [IEEE computational intelligence soc... |
2018/08/07 | 699 | 2,887 | <issue_start>username_0: I am using a neural network as my function approximator for reinforcement learning. In order to get it to train well, I need to choose a good learning rate. Hand-picking one is difficult, so I read up on methods of programmatically choosing a learning rate. I came across this blog post, [*Findi... |
2018/08/07 | 804 | 3,438 | <issue_start>username_0: My works quality control department is responsible for taking pictures of our products at various phases through our QC process and currently the process goes:
1. Take picture of product
2. Crop the picture down to only the product
3. Name the cropped picture to whatever the part is and some o... |
2018/08/08 | 1,615 | 7,234 | <issue_start>username_0: From [Meta-Learning with Memory-Augmented Neural Networks](http://proceedings.mlr.press/v48/santoro16.pdf) in section 4.1:
>
> To reduce the risk of overfitting, we performed data augmentation by randomly translating and rotating character images. We also created new classes through 90◦, 180◦... |
2018/08/08 | 1,494 | 6,853 | <issue_start>username_0: I have only a general understanding of General Topology, and want to understand the scope of the term "topology" in relation to the field of Artificial Intelligence.
In what ways are topological structure and analysis applied in Artificial Intelligence?<issue_comment>username_1: Over-fitting i... |
2018/08/09 | 737 | 3,089 | <issue_start>username_0: I am reading a book that states
>
> As the mini-batch size increases, the gradient computed is closer to the 'true' gradient
>
>
>
So, I assume that they are saying that mini-batch training only focuses on decreasing the cost function in a certain 'plane', sacrificing accuracy for speed. ... |
2018/08/11 | 1,166 | 4,193 | <issue_start>username_0: I've been wanting to make my own Neural Network in Python, in order to better understand how it works. I've been following [this](https://www.youtube.com/watch?v=ZzWaow1Rvho) series of videos as a sort of guide, but it seems the backpropagation will get much more difficult when you use a larger... |
2018/08/12 | 2,738 | 11,970 | <issue_start>username_0: In fields such as Machine Learning, we typically (somewhat informally) say that we are overfitting if improve our performance on a training set at the cost of reduced performance on a test set / the true population from which data is sampled.
More generally, in AI research, we often end up tes... |
2018/08/12 | 1,583 | 7,128 | <issue_start>username_0: If you've been attacked by a spider once, chances are you'll never go near a spider again.
In a neural network model, having a bad experience with a spider will slightly decrease the probability you will go near a spider depending on the learning rate. This is not good.
How can you program fe... |
2018/08/13 | 2,216 | 9,792 | <issue_start>username_0: I recently heard someone make a statement that when you're designing a self-driving car, you're not building a car but really a computerized driver, so you're trying to model a human mind -- at least the part of the human mind that can drive.
Since humans are unpredictable, or rather since the... |
2018/08/13 | 328 | 1,449 | <issue_start>username_0: Can we say that the Turing test aims to develop machines or methods to reach human-level performance in all cognitive tasks and that machine learning is one of these methods that can pass the Turing test?<issue_comment>username_1: Essentially yes.
The Turing Test is essentially a benchmark or ... |
2018/08/14 | 2,500 | 10,489 | <issue_start>username_0: I was trying to implement the breadth-first search (BFS) algorithm for the [sliding blocks puzzle](https://en.wikipedia.org/wiki/Sliding_puzzle) (number type). Now, the main thing I noticed is that, if you have a $4 \times 4$ board, the number of states can be as large as $16!$, so I cannot enu... |
2018/08/14 | 357 | 1,400 | <issue_start>username_0: I just stumbled upon the concept of neuron coverage, which is the ratio of activated neurons and total neurons in a neural network. But what does it mean for a neuron to be "activated"? I know what activation functions are, but what does being activated mean e.g. in the case of a ReLU or a sigm... |
2018/08/14 | 3,440 | 13,191 | <issue_start>username_0: How important is consciousness and self-consciousness for making advanced AIs? How far away are we from making such?
When making e.g. a neural network there's (very probably) no consciousness within it, but just mathematics behind, but do we need the AIs to become conscious in order to solve m... |
2018/08/15 | 327 | 1,402 | <issue_start>username_0: I read somewhere that a *multilayer perceptron* is a recursive function in its forward propagation phase. I am not sure, what is the recursive part? For me, I would see an MLP as a chained function. So, it would nice anyone could relate an MLP to a recursive function.<issue_comment>username_1: ... |
2018/08/16 | 1,055 | 4,515 | <issue_start>username_0: To the best of my understanding, the Monte Carlo tree search (MCTS) algorithm is an alternative to minimax for searching a tree of nodes. It works by choosing a move (generally, the one with the highest chance of being the best), and then performing a random playout on the move to see what the ... |
2018/08/16 | 417 | 1,872 | <issue_start>username_0: Turing test was created to test machines exhibiting behavior equivalent or indistinguishable from that of a human. Is that the sufficient condition of intelligence?<issue_comment>username_1: We don't know.
However, an important line will have been crossed - it will be impossible to tell the d... |
2018/08/16 | 881 | 3,533 | <issue_start>username_0: Could we teach an AI with sentences such as "ants are small" and "the sky is blue"? Is there any research work that attempts to do this?<issue_comment>username_1: I think that what you're really asking about is the question of [knowledge representation](https://en.wikipedia.org/wiki/Knowledge_r... |
2018/08/16 | 2,540 | 7,749 | <issue_start>username_0: I have a 100-150 words text and I want to extract particular information like location, product type, dates, specifications and price.
Suppose if I arrange a training data which has a text as input and location/product/dates/specs/price as a output value. So I want to train the model for these... |
2018/08/16 | 1,100 | 4,431 | <issue_start>username_0: So Taleb has two heuristics to generally describe data distributions. One is Mediocristan, which basically means things that are on a Gaussian distribution such as height and/or weight of people.
The other is called Extremistan, which describes a more Pareto like or fat-tailed distribution. An... |
2018/08/16 | 1,569 | 6,866 | <issue_start>username_0: I'm making a Connect Four game where my engine uses Minimax with Alpha-Beta pruning to search. Since Alpha-Beta pruning is much more effective when it looks at the best moves first (since then it can prune branches of poor moves), I'm trying to come up with a set of heuristics that can rank mov... |
2018/08/17 | 2,180 | 8,308 | <issue_start>username_0: A lot of questions on this site seem to be asking "can I use X to solve Y?", where X is usually a deep neural network, and Y is often something already addressed by other areas of AI that are less well known?
I have some ideas about this, but am inspired by questions like [this one](https://bi... |
2018/08/17 | 2,823 | 10,979 | <issue_start>username_0: I recently [came across this function](https://ai.stackexchange.com/a/7582/1671):
$$\sum\_{t = 0}^{\infty} \gamma^t R\_t.$$
It's elegant and looks to be useful in the type of deterministic, perfect-information, finite models I'm working with.
However, it occurs to me that using $\gamma^t$ i... |
2018/08/18 | 3,695 | 15,017 | <issue_start>username_0: When we talk about artificial intelligence, human intelligence, or any other form of intelligence, what do we mean by the term **intelligence** in a general sense? What would you call intelligent and what not? In other words, how do we define the term **intelligence** in the most general possib... |
2018/08/20 | 766 | 3,638 | <issue_start>username_0: I think I've seen the expressions "stationary data", "stationary dynamics" and "stationary policy", among others, in the context of reinforcement learning. What does it mean? I think stationary policy means that the policy does not depend on time, and only on state. But isn't that a unnecessary... |
2018/08/20 | 722 | 3,273 | <issue_start>username_0: I have the following question about You Only Look Once (YOLO) algorithm, for object detection.
I have to develop a neural network to recognize web components in web applications - for example, login forms, text boxes, and so on. In this context, I have to consider that the position of the obje... |
2018/08/22 | 2,428 | 9,355 | <issue_start>username_0: So suppose that you have a real estate appraisal problem. You have some structured data, and some images exterior of home, bedrooms, kitchen, etc. The number of pictures taken is variable per observational unit, i.e. the house.
I understand the basics of combining an image processing neural ne... |
2018/08/22 | 876 | 2,794 | <issue_start>username_0: Is there a machine learning system that is able to "understand" mathematical problems given in a textual description, such as
>
> A big cat needs 4 days to catch all the mice and a small cat needs 12 days. How many days need both, if they catch mice together?
>
>
>
?<issue_comment>usernam... |
2018/08/22 | 1,843 | 6,619 | <issue_start>username_0: I was reading the book [Reinforcement Learning: An Introduction by <NAME> and <NAME>](http://incompleteideas.net/book/bookdraft2017nov5.pdf) (complete draft, November 5, 2017).
On page 271, the pseudo-code for the episodic Monte-Carlo Policy-Gradient Method is presented. Looking at this pseud... |
2018/08/23 | 1,144 | 4,820 | <issue_start>username_0: I am reading [Goodfellow et al Deeplearning Book](http://www.deeplearningbook.org). I found it difficult to understand the difference between the definition of the hypothesis space and representation capacity of a model.
In [Chapter 5](http://www.deeplearningbook.org/contents/ml.html), it is ... |
2018/08/23 | 678 | 2,576 | <issue_start>username_0: Where can I find (more) pre-trained [language models](https://en.wikipedia.org/wiki/Language_model)? I am especially interested in **neural network-based** models for **English and German**.
I am aware only of [Language Model on One Billion Word Benchmark](https://github.com/tensorflow/models/... |
2018/08/23 | 1,542 | 4,994 | <issue_start>username_0: In the Trust-Region Policy Optimisation (TRPO) algorithm (and subsequently in PPO also), I do not understand the motivation behind replacing the log probability term from standard policy gradients
$$L^{PG}(\theta) = \hat{\mathbb{E}}\_t[\log \pi\_{\theta}(a\_t | s\_t)\hat{A}\_t],$$
with the im... |
2018/08/23 | 426 | 1,860 | <issue_start>username_0: A linear activation function (or none at all) should only be used when the relation between input and output is linear. Why doesn't the same rule apply for other activation functions? For example, why doesn't sigmoid only work when the relation between input and output is "of sigmoid shape"?<is... |
2018/08/24 | 761 | 3,099 | <issue_start>username_0: Recent advances in Deeplearning and dedicated hardware has made it possible to detect images with a much better accuracy than ever. Neural networks are the gold standard for computer vision application and are used widely in the industry, for example for internet search engines and autonomous c... |
2018/08/24 | 1,768 | 7,862 | <issue_start>username_0: I wrote a simple feed-forward neural network that plays tic-tac-toe:
* 9 neurons in input layers: 1 - my sign, -1 - opponent's sign, 0 - empty;
* 9 neurons in hidden layer: value calculated using ReLU;
* 9 neurons in output layer: value calculated using softmax;
I am using an evolutionary app... |
2018/08/27 | 1,104 | 4,481 | <issue_start>username_0: I am trying to understant how it works. How do you teach it say, to add 1 to each number it gets. I am pretty new to the subject and I learned how it works when you teach it to identify a picture of a number. I can understand how it identifies a number but I cant get it how would it study to pe... |
2018/08/27 | 473 | 1,828 | <issue_start>username_0: What are the best machine learning models that have been used to compose music? Are there some good research papers (or books) on this topic out there?
I would say, if I use a neural network, I would opt for a recurrent one, because it needs to have a concept of timing, chord progressions, and... |
2018/08/28 | 1,236 | 4,235 | <issue_start>username_0: I've seen many [Lorem Ipsum](https://en.wikipedia.org/wiki/Lorem_ipsum) generators on the web, but not only, there is also "bacon ispum", "space ispum", etc. So, how do these generators generate the text? Are they powered by an AI?<issue_comment>username_1: If you wanted to generate more I gues... |
2018/08/29 | 1,731 | 7,144 | <issue_start>username_0: I'm coding a Proximal Policy Optimization (PPO) agent with the [Tensorforce library](https://github.com/reinforceio/tensorforce) (which is built on top of TensorFlow).
The first environment was very simple. Now, I'm diving into a more complex environment, where all the actions are not availabl... |
2018/08/30 | 2,565 | 10,838 | <issue_start>username_0: How can I create an artificially intelligent aimbot for a game like [Counter-Strike Global Offensive (CS:GO)](https://en.wikipedia.org/wiki/Counter-Strike:_Global_Offensive)?
I have an initial solution (or approach) in mind. We can train an image recognition model that will recognize the head ... |
2018/08/30 | 1,412 | 6,401 | <issue_start>username_0: I am studying reinforcement learning and the variants of it. I am starting to get an understanding of how the algorithms work and how they apply to an MDP.
What I don't understand is the process of defining the states of the MDP. In most examples and tutorials, they represent something simple ... |
2018/08/31 | 1,344 | 5,679 | <issue_start>username_0: I'm having a little trouble with the definition of rationality, which goes something like:
>
> An agent is rational if it maximizes its performance measure given its current knowledge.
>
>
>
I've read that a simple reflex agent will not act rationally in a lot of environments. For example... |
2018/08/31 | 1,328 | 5,791 | <issue_start>username_0: My question relates to but doesn't duplicate a question that has been asked [here](https://ai.stackexchange.com/questions/4282/measuring-object-size-using-deep-neural-network).
I've Googled a lot for an answer to the question: *Can you find the dimensions of an object in a photo if you don't k... |
2018/09/01 | 739 | 3,063 | <issue_start>username_0: I am new to the field and I am trying to understand how is possible to use categorical variables / enums?
Lets say we have a data set and 2 of its features are `home_team` and `away_team`, the possible values of these 2 features are all the NBA teams.
How can we "normalize" these features to b... |
2018/09/01 | 518 | 2,048 | <issue_start>username_0: I have been researching LSTM neural networks. I have seen [this](https://cdn-images-1.medium.com/max/1600/1*Niu_c_FhGtLuHjrStkB_4Q.png) diagram a lot and I have few questions about it. Firstly, is this diagram used for most LSTM neural networks?
Secondly, if it is, wouldn't only having single... |
2018/09/02 | 352 | 1,536 | <issue_start>username_0: What benefits can we got by applying Graph Convolutional Neural Network instead of ordinary CNN? I mean if we can solve a problem by CNN, what is the reason should we convert to Graph Convolutional Neural Network to solve it? Are there any examples i.e. papers can show by replacing ordinary CNN... |
2018/09/02 | 1,888 | 6,392 | <issue_start>username_0: I want to explore and experiment the ways in which I could use a neural network to identify patterns in text.
examples:
1. Prices of XYZ stock went down at **11:00** am **today**
2. Retrieve a list of items exchanged on **03/04/2018**
3. Show error logs between **3 - 5 am** **yesterday**.
4.... |
2018/09/04 | 814 | 3,288 | <issue_start>username_0: I am not sure if I can use the words *binomial* and *binary* and *boolean* as synonyms to describe a data attribute of a data set which has two values (yes or no). Are there any differences in the meaning on a deeper level?
Moreover, if I have an attribute with three possible values (yes, no, ... |
2018/09/05 | 1,145 | 5,054 | <issue_start>username_0: I am interested in the field of artificial intelligence. I began by learning the various machine learning algorithms. The maths behind some were quite hard. For example, back-propagation in convolutional neural networks.
Then when getting to the implementation part, I learnt about TensorFlow,... |
2018/09/05 | 829 | 3,049 | <issue_start>username_0: In [Proximal Policy Optimization Algorithms](https://arxiv.org/abs/1707.06347) (2017), Schulman et al. write
>
> With this scheme, we only ignore the change in probability ratio when it would make the objective improve, and we include it when it makes the objective worse.
>
>
>
I don't un... |
2018/09/06 | 4,055 | 15,554 | <issue_start>username_0: What is the definition of artificial intelligence?<issue_comment>username_1: Over the years, many people attempted to define artificial intelligence. A lot of those definitions are summed up by <NAME> and <NAME> in their book [Artificial Intelligence - A Modern Approach](http://aima.cs.berkeley... |
2018/09/06 | 711 | 2,892 | <issue_start>username_0: I developed a CNN for image analysis. I've around 100K labeled images. I'm getting a accuracy around 85% and a validation accuracy around 82%, so it looks like the model generalize better than fitting. So, I'm playing with different hyper-parameters: number of filters, number of layers, number ... |
2018/09/06 | 1,088 | 2,952 | <issue_start>username_0: In the Berkeley RL class [CS294-112 Fa18 9/5/18](https://www.youtube.com/watch?v=XGmd3wcyDg8&feature=youtu.be&t=1071), they mention the following gradient would be 0 if the policy is deterministic.
$$
\nabla\_{\theta} J(\theta)=E\_{\tau \sim \pi\_{\theta}(\tau)}\left[\left(\sum\_{t=1}^{T} \nab... |
2018/09/06 | 1,201 | 4,280 | <issue_start>username_0: In a convolutional neural network, which layer consumes more training time: convolution layers or fully connected layers?
We can take AlexNet architecture to understand this. I want to see the time breakup of the training process. I want a relative time comparison so we can take any constant ... |
2018/09/07 | 733 | 3,136 | <issue_start>username_0: I have an application where I want to find the locations of objects on a simple, relatively constant background (fixed camera angle, etc). For investigative purposes, I've created a test dataset that displays many characteristics of the actual problem.
Here's a sample from my test dataset.
[!... |
2018/09/07 | 1,304 | 4,972 | <issue_start>username_0: The term Singularity is often used in mainstream media for describing visionary technology. It was introduced by <NAME> in a popular book [The Singularity Is Near: When Humans Transcend Biology](https://en.wikipedia.org/wiki/The_Singularity_Is_Near) (2005).
In his book, Kurzweil gives an outlo... |
2018/09/07 | 262 | 1,204 | <issue_start>username_0: Objects tracking is finding the trajectory of each object in consecutive frames. Human tracking is a subset of object tracking which just considers humans.
I've seen many papers that divide tracking methods into two parts:
1. Online tracking: Tracker just uses current and previous frames.
2.... |
2018/09/09 | 1,116 | 4,357 | <issue_start>username_0: I want to generate images of childrens' drawings consistent with the developmental state of children of a given age. The training data set will include drawings made by real children in a school setting. The generated images will be used for developmental analysis.
I have heard that Generativ... |
2018/09/09 | 1,098 | 3,197 | <issue_start>username_0: In the [homework for the Berkeley RL class](http://rail.eecs.berkeley.edu/deeprlcourse/static/homeworks/hw2.pdf), problem 1, it asks you to show that the policy gradient is still unbiased if the baseline subtracted is a function of the state at time step $t$.
$$ \triangledown \_\theta \sum\_{t... |
2018/09/09 | 1,563 | 6,598 | <issue_start>username_0: Is there research that employs realistic models of neurons? Usually, the model of a neuron for a neural network is quite simple as opposed to the realistic neuron, which involves hundreds of proteins and millions of molecules (or even greater numbers). Is there research that draws implications ... |
2018/09/10 | 1,588 | 6,762 | <issue_start>username_0: Would AlphaGo Zero become theoretically perfect with enough training time? If not, what would be the limiting factor?
(By perfect, I mean it always wins the game if possible, even against another perfect opponent.)<issue_comment>username_1: Yes [AlphaGo Zero](https://en.wikipedia.org/wiki/Alph... |
2018/09/11 | 3,910 | 16,550 | <issue_start>username_0: I don’t believe in free will, but most people do. Although I’m not sure how an act of free will could even be described (let alone replicated), is [libertarian freewill](https://en.wikipedia.org/wiki/Libertarianism_(metaphysics)) something that is considered for AI? Or is AI understood to be de... |
2018/09/12 | 1,037 | 4,132 | <issue_start>username_0: This is a q-learning snake using a neural network as a q function aproximator and I'm losing my mind here the current model it's worst than the initial one.
The current model uses a 32x32x32 MLPRegressor from scikit-learn using relu as activation function and the adam solver.
The reward funct... |
2018/09/13 | 872 | 3,573 | <issue_start>username_0: The Alpha Zero (as well as AlphaGo Zero) papers say they trained the value head of the network by "minimizing the error between the predicted winner and the game winner" throughout its many self-play games. As far as I could tell, further information was not given.
To my understanding, this is... |
2018/09/13 | 1,280 | 4,426 | <issue_start>username_0: [In a CNN, does each new filter have different weights for each input channel, or are the same weights of each filter used across input channels?](https://ai.stackexchange.com/questions/5769/in-a-cnn-does-each-new-filter-have-different-weights-for-each-input-channel-or)
This question helps me ... |
2018/09/14 | 912 | 4,061 | <issue_start>username_0: Is it possible for a genetic algorithm + Neural Network that is used to learn to play one game such as a platform game able to be applied to another different game of the same genre.
So for example, could an AI that learns to play Mario also learn to play another similar platform game.
Also, ... |
2018/09/14 | 1,868 | 8,254 | <issue_start>username_0: I started teaching myself about reinforcement learning a week ago and I have this confusion about the learning experience. Let's say we have the game Go. And we have an agent that we want to be able to play the game and win against anyone. But let's say this agent learn from playing against one... |
2018/09/14 | 669 | 2,720 | <issue_start>username_0: Are there neural networks that can decide to add/delete neurons (or change the neuron models/activation functions or change the assigned meaning for neurons), links or even complete layers during execution time?
I guess that such neural networks overcome the usual separation of learning/infer... |
2018/09/14 | 615 | 2,474 | <issue_start>username_0: Problem:
We have a fairly big database that is built up by our own users.
The way this data is entered is by asking the users 30ish questions that all have around 12 answers (x, a, A, B, C, ..., H). The letters stand for values that we can later interpret.
I have already tried and implement... |
2018/09/15 | 1,658 | 7,146 | <issue_start>username_0: At the time when the basic building blocks of machine learning (the perceptron layer and the convolution kernel) were invented, the model of the neuron in the brain taught at the university level was simplistic.
>
> Back when neurons were still just simple computers that electrically beeped u... |
2018/09/19 | 746 | 3,041 | <issue_start>username_0: Usually, using the [Manhattan distance](https://en.wikipedia.org/wiki/Taxicab_geometry) as a heuristic function is enough when we do an A\* search with one target. However, it seems like for multiple goals, this is not the most useful way. Which heuristic do we have to use when we have multiple... |
2018/09/19 | 1,519 | 6,853 | <issue_start>username_0: I'm finding it hard to understand the relationship between chaotic behavior, the human brain, and artificial networks. There are a number of explanations on the web, but it would be very helpful if I get a very simple explanation or any references providing such simplifications.<issue_comment>u... |
2018/09/23 | 585 | 2,044 | <issue_start>username_0: I want to understand what the `gamma` parameter does in an SVM. According to [this page](http://scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html).
>
> Intuitively, the `gamma` parameter defines how far the influence of a single training example reaches, with low values meani... |
2018/09/25 | 2,999 | 11,054 | <issue_start>username_0: I have difficulty understanding the following paragraph in the below excerpts from page 4 to page 5 from the paper [*Dueling Network Architectures for Deep Reinforcement Learning*](http://proceedings.mlr.press/v48/wangf16.pdf).
The author said "we can force the advantage function estimator to ... |
2018/09/29 | 1,425 | 5,610 | <issue_start>username_0: I recently learned about genetic algorithms and I solved the 8 queens problem using a genetic algorithm, but I don't know how to optimize any functions using a genetic algorithm.
$$
\begin{array}{r}
\text { maximize } f(x)=\frac{-x^{2}}{10}+3 x \\
0 \leq x \leq 32
\end{array}
$$
I want a guid... |
2018/09/30 | 841 | 3,323 | <issue_start>username_0: I made my first neural net in C++ without any libraries. It was a net to recognize numbers from the MNIST dataset. In a 784 - 784 - 10 net with sigmoid function and 5 epochs with every 60000 samples, it took about 2 hours to train. It was probably slow anyways, because I trained it on a laptop ... |
2018/09/30 | 1,279 | 4,010 | <issue_start>username_0: I was able to find [the original paper on LSTM](https://www.bioinf.jku.at/publications/older/2604.pdf), but I was not able to find the paper that introduced "vanilla" RNNs. Where can I find it?<issue_comment>username_1: The two tech reports below both call RNNs explicitly "recurrent net(work)s"... |
2018/09/30 | 888 | 3,904 | <issue_start>username_0: In the circumstances of two perfect AI's playing each other, will white have an inherent advantage? Or can black always play for a stalemate by countering every white strategy?<issue_comment>username_1: I'm no expert chess player.
Some specialist chess forums also discussed this issue and there... |
2018/10/02 | 1,378 | 5,694 | <issue_start>username_0: **The dialog context**
Turing proposed at the end of the description of his famous test, "Will the interrogator decide wrongly as often when the game is played like this as he does when the game is played between a man and a woman? These questions replace our original, 'Can machines think?'"1
... |
2018/10/03 | 575 | 2,537 | <issue_start>username_0: Imagine a system that controls dampers in a complex vent system that has an objective to perfectly equalize the output from each vent. The system has sensors for damper position, flow at various locations and at each vent. The system is initially implemented using a rather small data set or eve... |
2018/10/04 | 852 | 3,115 | <issue_start>username_0: I'm looking for **annotated** dataset of traffic signs. I was able to find Belgium, German and many more traffic signs datasets. The only problem is these datasets contain only cropped images, like this:
[](https://i.stack.img... |
2018/10/05 | 920 | 3,709 | <issue_start>username_0: I'd like to implement a partially connected neural network with ~3 to 4 hidden layers (a sparse deep neural network?) where I can specify which node connects to which node from the previous/next layer. So I want the architecture to be highly specified/customized from the get-go and I want the n... |
2018/10/05 | 325 | 1,168 | <issue_start>username_0: I implemented an image segmentation pipeline and I trained it on the [DICOM dataset](https://en.wikipedia.org/wiki/DICOM). I compared the results of the model with manual segmentation to find the accuracy. Is there other methods for evaluation?<issue_comment>username_1: See:
>
> username_1: [... |
2018/10/06 | 446 | 1,521 | <issue_start>username_0: With reference to the research paper entitled [Sentiment Embeddings with Applications to Sentiment Analysis](https://ieeexplore.ieee.org/document/7296633), I am trying to implement its sentiment ranking model in Python, for which I am required to optimize the following hinge loss function:
$$... |
2018/10/06 | 1,702 | 7,224 | <issue_start>username_0: I have a neural network with the following structure:
[](https://i.stack.imgur.com/eHMGH.jpg)
I am expecting specific outputs from the neural network which are the target values for my training. Let's say the t... |
2018/10/07 | 530 | 1,886 | <issue_start>username_0: I want to implement a neural network on a big dataset. But training time is long (~1h30 per epoch). I'm still in the development process, so I don't want to wait such long time just to have poor results at the end.
[This](https://blog.slavv.com/37-reasons-why-your-neural-network-is-not-working... |
2018/10/09 | 814 | 3,338 | <issue_start>username_0: Almost all the convolutional neural network architecture I have come across have a square input size of an image, like $32 \times 32$, $64 \times 64$ or $128 \times 128$. Ideally, we might not have a square image for all kinds of scenarios. For example, we could have an image of size $384 \time... |
2018/10/14 | 469 | 1,930 | <issue_start>username_0: So let's say you had a really nice day in a flight simulator and you are getting videos of this type of quality:
[](https://i.stack.imgur.com/ftsYV.png)
This is Full HD (1080p), but heavily compressed. You can literally... |
2018/10/15 | 944 | 3,547 | <issue_start>username_0: In keras, when we use an LSTM/RNN model, we need to specify the node [i.e., LSTM(128)]. I have a doubt regarding how it actually works. From the LSTM/RNN unfolding image or description, I found that each RNN cell take one time step at a time. What if my sequence is larger than 128? How to inter... |
2018/10/15 | 1,281 | 5,137 | <issue_start>username_0: *Following-up my [question](https://ai.stackexchange.com/questions/8338/interpretation-of-a-good-overfitting-score) about my over-fitting network*
My deep neural network is over-fitting :
[](https://i.stack.imgur.com/6xKGF.p... |
2018/10/16 | 616 | 2,132 | <issue_start>username_0: This is a question about pattern recognition and feature extraction.
I am familiar with Hough transforms, the Fast Radial Transform and variants (e.g., GFRS), but these highlight circles, spheres, etc.
I need an image filter that will highlight the centroid of a series of spokes radiating fro... |
2018/10/17 | 714 | 3,156 | <issue_start>username_0: I have a collection of scanned documents (which come from newspapers, books, and magazines) with complex alignments for the text, i.e. the text could be at any angle w.r.t. the page. I can do a lot of processing for different features extraction. However, I want to know some robust methods that... |
2018/10/18 | 1,261 | 5,434 | <issue_start>username_0: In the book *Reinforcement Learning: An Introduction* (Sutton and Barto, 2018). The authors ask
>
> *Exercise 3.2:* Is the MDP framework adequate to usefully represent all goal-directed learning tasks? Can you think of any clear
> exceptions?
>
>
>
I thought maybe a card game would be an... |