Unanswered Questions
282 questions with no upvoted or accepted answers
6
votes
1
answer
144
views
It is possible to use deep learning to give approximate solutions to NP-hard graph theory problems?
It is possible to use deep learning to give approximate solutions to NP-hard graph theory problems?
If we take, for example, the travelling salesman problem (or the dominating set problem). Let's say ...
CommunityBot
- 1
5
votes
0
answers
369
views
What are the ways to calculate the error rate of a deep Convolutional Neural Network, when the network produces different results using the same data?
I am new to the object recognition community. Here I am asking about the broadly accepted ways to calculate the error rate of a deep CNN when the network produces different results using the same data....
CommunityBot
- 1
4
votes
0
answers
74
views
Why does a neural network struggle to solve this simple problem?
Consider the following problem:
Given a vector x of size dim with values between 0 and 1 (exclusive), determine if ...
- 201
4
votes
0
answers
84
views
Difficulty in agent's learning with increasing dimensions of continuous actions
I have been working on some RL project, where the policy is controlling the robot using its joint angles.Throughout the project I have noticed some phenomenon, which caught my attention. I have ...
- 350
4
votes
0
answers
809
views
How to perform classification with NEAT-Python?
I am trying to do classification using NEAT-python for the first time, and I am having difficulty getting the accuracy rate. I tried the same problem with an ANN and was able to get a good accuracy ...
- 41
4
votes
0
answers
367
views
Deep Q-Network (DQN) to learn the game 2048
I am trying to build a Deep Q-Network (DQN) agent that can learn to play the game 2048. I am orientating myself on other programs and articles that are based on the game snake and it worked well (...
- 6,209
4
votes
0
answers
1k
views
Can we combine multiple different neural networks in one?
I want to make a kind of robotic brain, i.e. a big neural network, which includes an NLP model (for understanding human voice), real-time object recognition system (so that it can identify particular ...
- 42.4k
4
votes
0
answers
131
views
Supervised K-means clustering doesn't appear to work
I have a data set containing actions taken by customers (e.g., view a product, add a product to cart, purchase product), the product bought (if any) and times of said actions. I am attempting to use K-...
- 111
4
votes
2
answers
2k
views
How to perform gradient checking in a neural network with batch normalization?
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 ...
CommunityBot
- 1
4
votes
0
answers
193
views
Can AlexNet be changed to produce floating-point outputs in the range $[-1, 1]$, and, if not, which model should I use?
I'm developing a game AI, which tries to master racing simulation. I already trained a CNN (AlexNet) on in-game footage of me playing the game and the pressed keys as the target.
I had two main issues ...
- 42.4k
3
votes
0
answers
95
views
Is improving a Neural Network really just "trial and error"?
After asking on StackOverflow, I was redirected here, so I'm reposting this question.
I am a PhD student in Computational Physics and I've started to study a bit of Neural Networks, and decided to try ...
- 131
3
votes
0
answers
154
views
Are there Reinforcement Learning algorithms specialized for the case $\gamma=0$?
I have a Reinforcement Learning problem where the optimal policy does not depend on the next state (ie gamma equals 0). I think this means that I only need an efficient exploration algorithm coupled ...
- 42.4k
3
votes
0
answers
148
views
Why shouldn't batch normalisation layers be learnable during fine-tuning?
I have been reading this TensorFlow tutorial on transfer learning, where they unfroze the whole model and then they say:
When you unfreeze a model that contains ...
- 42.4k
3
votes
0
answers
755
views
How to select good inputs and fitness function to achive good results with NEAT for Icy Tower bot
I'm trying to make a bot to the famous "Icy Tower" game.
I rebuilt the game using pygame and I'm trying to build the bot using Python-NEAT.
Every generation a population of 70 characters ...
3
votes
0
answers
272
views
Understanding the TensorFlow implementation of the policy gradient method
I was trying to understand the implementation of a basic policy gradient (REINFORCE) method using TensorFlow.
I think I got almost everything. The only thing that still bothers me is the loss function ...
- 42.4k