Questions tagged [pytorch]
For questions related to the deep learning PyTorch framework.
60
questions
0
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1answer
14 views
How is it possible to get the output size of `n` Consecutive Convolutional layers? [closed]
Given network architecture, what are the possible ways to define fully connected layer fc1 to have a generalized structure such as ...
0
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0answers
26 views
Why PyTorch is faster than sklearn models? [migrated]
Recently, I get to know about the hummingbird library for Python. I trained a RandomForest on a 10M-sized dataset with 2 labels. With sklearn it was taking 450 ms for inference. But after converting ...
1
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0answers
29 views
In layman's terms, what is stochastic computation graph?
I'm going through the distributions package on PyTorch's documentation and came across the term stochastic computation graph. In layman's terms, what is it?
1
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0answers
33 views
Policy Gradient on Tic-Tac-Toe not working
I wanted to implement the Policy Gradient on Tic-Tac-Toe.
I tried to use the code that worked for any environment like CartPole-v0 to my Tic-Tac-To game. But it is not learning. There are no errors. ...
2
votes
1answer
216 views
Why isn't my implementation of A2C for the the atari pong game converging?
I have two different implementations with PyTorch of the Atari Pong game using A2C algorithm. Both implementations are similar, but some portion are different.
https://colab.research.google.com/drive/...
2
votes
2answers
143 views
Advantage computed the wrong way?
Here is the code written by Maxim Lapan. I am reading his book (Deep Reinforcement Learning Hands-on). I have seen a line in his code which is really weird. In the accumulation of the policy gradient $...
1
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0answers
19 views
Benchmarking SAC on Pybullet
So far I have seen TD3 and DDPG benchmarks on Pybullet environments, but I am looking for SAC benchmarks on Pybullet too, anyone can help?
1
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0answers
29 views
What are the procedures to get RL paper results? [closed]
I finished working on a new algorithm in Reinforcement Learning, I need to compare it to some well-known algorithms. That's why I need to know the step-by-step procedures that RL researchers usually ...
0
votes
1answer
101 views
Once the environments are vectorized, how do I have to gather immediate experiences for the agent?
My main purpose right now is to train an agent using the A2C algorithm to solve the Atari Breakout game. So far I have succeeded to create that code with a single agent and environment. To break the ...
1
vote
1answer
80 views
What does the notation $\partial \theta_{\pi}$ mean in this actor-critic update rule?
One of the steps in the actor-critic algorithm is $$\partial \theta_{\pi} \gets \partial \theta_{\pi} + \nabla_{\theta}\log\pi_{\theta} (a_i | s_i) (R - V_{\theta}(s_i))$$
For me, $\theta$ are just ...
1
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0answers
21 views
What is the difference between FC and MLP in as used in PointNet?
I am trying to understand the PointNet network for dealing with point clouds and struggling with understanding the difference between FC and MLP:
"FC is fully connected layer operating on each ...
1
vote
0answers
9 views
How can I use GPT-2 to modify seed text of one form into a different form (LENGTH INVARIANT) whilst retaining meaning?
I am currently starting a research project whereby I am trying to convert text of one form into another.
i.e. If I were to write a seed sentance of the form "Scientists have finally achieved the ...
1
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0answers
143 views
Replace epsilon greedy action selection and the standard DQN by an Independent Gaussian Noise Network Model
Here is my code
Recently, I solved the game of Atari Breakout using a classic DQN model. The convergence of the mean reward slowly improved during three days. I was interested in learning a method ...
1
vote
1answer
26 views
Why are the rewards of my RL agent for the Atari Breakout game decreasing after a certain number of episodes?
The agent is trying to master the Atari Breakout game.
Here is my code
Is that normal that reward_100 decreased that much after it hits 4.5? Is there a way to ...
1
vote
1answer
30 views
2
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0answers
32 views
Why does GAN loss converge to log(2) and not -log(2)?
In Goodfellow's paper, he says:
Hence, by inspecting Eq. 4 at $D^*_G (\mathbf{x}) = \frac{1}{2}$, we find $C(G) = \log \frac{1}{2}+ \log \frac{1}{2} = ā \log 4$. To see that this is the best ...
0
votes
1answer
60 views
Can you train Transformers sequentially?
Iām currently trying to train a BART, which is a denoising Transformer created by Facebook researchers. Hereās my Transformer code
...
1
vote
0answers
26 views
Is it possible to do token classification using a model such as GPT-2?
I am trying to use PyTorch's transformers as a part of a research project to do sentiment analysis of several types of review data (laptop and restaurant).
To do this, my team is taking a token-...
1
vote
1answer
29 views
time-series prediction : loss going down, then stagnates with very high variance
I am trying to design a model based on LSTM cells to do time-series prediction. The ouput value is an integer in [0,13]. I have noticed that one-hot encoding it and ...
1
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0answers
36 views
What are the pros and cons of Keras, PyTorch and Caffe for computer vision?
I have tried to get the basic grasp of the following deep learning frameworks with python:
Keras
Pytorch
Caffe
However, I have lately noticed that people in the computer vision community care less ...
0
votes
0answers
16 views
Which hidden state should I use for a trajectory when incorporating LSTM into RL?
I'm trying to wrap my head around using LSTM in an RL algorithm like actor-critic or PPO. I've found this Github code which presents this in a very simple manner, however I have a very limited ...
1
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0answers
23 views
Pytorch deep learning models and tabular data representation
I have quite a naive question regarding Pytorch deep learning models and tabular data representation. So, assume I have a dictionary of tables. Each table has some number of columns: categorical and ...
4
votes
1answer
107 views
Is there a reason to use TensorFlow over PyTorch for research purposes?
I've been using PyTorch to do research for a while and it seems to be quite easy to implement new things with. Also, it is easy to learn and I didn't have any problem with following other researchers ...
2
votes
0answers
50 views
What is the equivalent PyTorch version of tensorflow lite
Update
Checked the PyTorch Mobile which is designed to Android and iOS. Although according to the document, it says it can build for ARM CPUs, but there isn't any documentation mention about how to ...
1
vote
1answer
36 views
RealNVP gives wrong probabilities
I am trying to use RealNVP with some data I have (the input size is a 1D vector of size 22). Here is the link to the RealNVP paper and here is a nice, short explanation of it (the paper is pretty long)...
2
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0answers
34 views
Why does the BatchNormalization layer produce different outputs during training and inference?
I modified resnet50 architecture to get a regression network. I just add batchnorm1d and ReLU layers just before the fully connected layer. During the training, the output of batchnorm1d layer is ...
4
votes
1answer
99 views
What are the differences between TensorFlow and PyTorch? [closed]
What are the differences between TensorFlow and PyTorch, both in terms of performance and functionality?
0
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1answer
40 views
Why is this deep Q agent constantly learning just one action?
I'm trying to implement deep q learning in the OpenAI's gym "Taxi-v3" environment. But my agent only learns to do one action in every state. What am I doing wrong? Here is the Github repository with ...
1
vote
1answer
40 views
Why does PyTorch use a different formula for the cross-entropy?
In my understanding, the formula to calculate the cross-entropy is
$$
H(p,q) = - \sum p_i \log(q_i)
$$
But in PyTorch nn.CrossEntropyLoss is calculated using this ...
0
votes
0answers
41 views
FastAi How to turn off crop in ImageDataBunch
I just trained my birds model. It works fine when I was testing it with close pictures.
But when I moved the pictures further away my camera, the model was not able to detect birds.
My guess is in ...
1
vote
0answers
30 views
Why is my variational auto-encoder generating random noise?
This is my first variational autoencoder. Background info: I am using the MNIST digits dataset. The model is created and trained in PyTorch. The model is able to get a reasonably low loss, but the ...
1
vote
0answers
23 views
How can I train a neural network to find the hyper-parameters with which the data was generated?
I have 10000 tuples of numbers (x1, x2, y) generated from the equation: y = np.cos(0.583 * x1) + np.exp(0.112 * x2). I want to ...
1
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0answers
40 views
Why are the current means and the old ones the same in this implementation of Elastic Weight Consolidation?
I'm trying to re-implement Elastic Weight Consolidation (EWC) as outlined in this paper. As a reference, I am also using this Github repository (another implementation).
My model/idea is pretty ...
2
votes
0answers
181 views
How can I train YOLO with the COCO dataset?
I am trying to implement the original YOLO architecture for object detection, but I am using the COCO dataset. However, I am a bit confused about the image sizes of COCO. The original YOLO was trained ...
1
vote
0answers
10 views
Can Grad CAM feature maps be used for Training?
I am trying to recreate the architecture of the following paper: https://arxiv.org/pdf/1807.03058.pdf
Can someone help me in explaining how are the feature maps coming out of the output of GradCam ...
1
vote
0answers
57 views
Focal loss for imbalanced multi class classification in Pytorch
I want an example code for Focal loss in PyTorch for a model with three class prediction. My model outputs 3 probabilities.
...
1
vote
0answers
49 views
How to train LSTM score prediction with very little data? (Bounty to be added)
I am trying to make a text score prediction network, and my dataset have 500 samples only. I know there is a public dataset called the ASAP Dataset. I have tested my model ...
1
vote
1answer
78 views
How does the policy gradient's derivative work?
I am trying to understand the policy gradient method using a PyTorch implementation and this tutorial.
My first question is about the end result of this gradient derivation,
\begin{aligned}
\nabla \...
3
votes
1answer
50 views
Training network with 4 GPUs performance is not exactly 4 times over one GPU why?
Training neural network with 4 GPUs using pyTorch, performance is not even 2 times (btw 1 & 2 times) compare to using one GPU. From Nvidia-smi we see GPU usage is for few milliseconds and next 5-...
1
vote
1answer
61 views
Is this learning rate schedule increasing the learning rate?
I was reading a PyTorch code then I saw this learning rate scheduler:
...
0
votes
1answer
155 views
Confused with backprop in pytorch with BCE loss
I've a prediction matrix(P) of dimension 3x3 and one-hot encoded label matrix(L) of dimension 3x3 as shown below.
...
2
votes
0answers
778 views
How to transfer learn Darknet YOLOv3
I've started getting into object detection in image. I have YOLOv3 neural network with Darknet framework. The network is pre-trained from COCO data set. Now I need to do some transfer learning in ...
3
votes
1answer
84 views
Issue at training simple RNN for word generation
After completing Coursera course from Andrew Ng, I wanted to implement again simple RNN for generating dinosaurs name based on a text file containing around 800 dinosaurs name.
This is done with ...
0
votes
0answers
80 views
Training, validation loss and accuracy yolov3?
This is a version of Yolo V3 implemented in PyTorch ā YOLOv3 in PyTorch
I am trying to use transfer learning to train this yolov3 implementation following the directions given in this post. This is ...
1
vote
0answers
34 views
Initial LSTM hidden state and cell
If we use LSTMCell from torch:
The initial hidden and cell layers should be CONSTANT (from the first time you run the program) and saved right? Like random seeds?
...
1
vote
0answers
30 views
Super Resolution CNN generates black dots on output images
I have been trying to train a CNN for the super-resolution task based on the work of Dong et al., 2015 [1]. The network structure built in PyTorch is as follows:
...
2
votes
1answer
278 views
Are the training loss and validation loss plotted per sample or per batch?
I am using a CNN to train on some data, where training size = 21700 samples, and test size is 653 samples, and say I am using a batch_size of 500 (I am accounting for samples out of batch size as well)...
1
vote
1answer
80 views
LSTM text classifier shows unexpected cyclical pattern in loss
I'm training a text classifier in PyTorch and I'm experiencing an unexplainable cyclical pattern in the loss curve. The loss drops drastically at the beginning of each epoch and then starts rising ...
1
vote
0answers
28 views
How to implement Multiple Neural network architecture, connected in parallel and series in Keras or Pytorch [closed]
Hello Dear StackExchange members,
I want to make a deep network as shown in the image. I want each 'network 1 to look at the specific part of the input and I don't want to divide my input beforehand ...
-1
votes
1answer
77 views
Which is better to start deep learning and understand it in depth (and not just a simple overview) - pytorch or tensorflow 2.0?
I am beginning to learn deep learning. I recently spoke with an expert in the field. He suggested that I start with pytorch because of these reasons:
Keras abstracts the stuff a lot that we will not ...
