Most Popular
1500 questions
5
votes
2 answers
How is the depth of the input related to the depth of the output of a convolutional layer?
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…
Du Bois Eloi
- 53
- 4
5
votes
2 answers
Is the word "pose" used correctly in the paper "Matrix Capsules with EM Routing"?
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}…
bossman
- 163
- 4
5
votes
1 answer
What beginner-friendly machine learning method should I use to make teams for my pickup ultimate frisbee club fairly balanced?
A bunch of friends and I play ultimate every week. Recently I wrote a program to choose our teams for us, as well as keep track of certain data (like which players were on which team, which team won, what was the score, how long the game was, etc).…
tr3ndyBEAR
- 53
- 3
5
votes
1 answer
What algorithms does stackoverflow use for classifying duplicate questions?
Can I get details about the algorithms used for classifying questions in stackoverflow ("Questions that may already have your answer"). Most of the suggestions I get are nowhere related to the question I have intended to ask.
thecomplexitytheorist
- 776
- 3
- 19
5
votes
4 answers
What kind of neural network architecture do I use to classify images into one hundred thousand classes?
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?
Mohsin
- 992
- 1
- 10
- 15
5
votes
2 answers
Why would LDA have performed much better than SVM and Naive Bayes in diagnosing ADHD?
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…
roi mal
- 51
- 1
5
votes
1 answer
What is the importance of the endocannabinoid system for cognitive function?
The endocannabinoid system is a very important function of human biology. Unfortunately, due to the illegality of cannabis, it is a relatively new field of study. I have read a few articles about Google researching the role of dopamine in learning,…
Cannabijoy
- 171
- 1
- 9
5
votes
1 answer
How could an AI be used to improve the teaching and learning of mathematics?
I have been working with AI methods. I am thinking about how my daughter (and also other kids) could learn mathematics with the help of AI. For example, how could an AI be used to show the mistakes that a kid does during the learning path?
user2211430
- 51
- 3
5
votes
1 answer
What could happen if we wrongly assume that the POMDP is an MDP?
Consider the Breakout environment.
We know that the underlying world behaves like an MDP, because, for the evolution of the system, it just needs to know what the current state (i.e. position, speed, and speed direction of the ball, positions of the…
Marco Favorito
- 185
- 7
5
votes
2 answers
What do the neural network's weights represent conceptually?
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…
user248884
- 151
- 3
5
votes
1 answer
How to compute the action probabilities with Thompson sampling in deep Q-learning?
In some implementations of off-policy Q-learning, we need to know the action probabilities given by the behavior policy $\mu(a)$ (e.g., if we want to use importance sampling).
In my case, I am using Deep Q-Learning and selecting actions using…
nicolas
- 53
- 2
5
votes
1 answer
Can minimax be used when both players want to increase their score?
If both the players want to increase their score (by selecting the highest or best cost path), can this be done using the minimax algorithm, or are there other algorithms for this purpose?
Rachael E
- 51
- 1
5
votes
1 answer
Which machine learning approach should I use to estimate how many products a research group should have to improve its category?
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, software, among others. Depending on the number of products, the…
LP0
- 83
- 4
5
votes
1 answer
Which functions can be activation functions?
What are the required characteristics of an activation function (in a neural network)? Which functions can be activation functions?
For example, which of the functions below can be used as an activation function?
$$f(x) = \frac{2}{\pi}…
mBabaee
- 51
- 2
5
votes
2 answers
Are Bayesian networks important to learn in 2018?
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…
kaizokun
- 173
- 5