Questions tagged [pytorch]
For questions related to the deep learning PyTorch framework.
36
questions
2
votes
1answer
50 views
What are the differences between TensorFlow and PyTorch?
What are the differences between TensorFlow and PyTorch, both in terms of performance and functionality?
0
votes
1answer
25 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 doning wrong? Here is the Github repository with ...
1
vote
1answer
31 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
19 views
How to make Hopenet (face pose regressor) to work from github? [closed]
Please add tags to this question, I don't really know the correct ones.
I am trying to make Hopenet run on my computer, using the code on github
I have installed all required libraries. This is my ...
0
votes
0answers
11 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
21 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
vote
0answers
27 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
50 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 ...
0
votes
0answers
45 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
43 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
58 views
How is the policy gradient's derivative work?
I am trying to understand policy gradient method using a pytorch implementation and this tutorial.
My first question is about the end result of this gradient derivation,
mainly in this equation
$\...
3
votes
1answer
34 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-...
0
votes
1answer
33 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
70 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
339 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 ...
2
votes
1answer
65 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
21 views
Training, validation loss and accuracy yolov3?
This is a version of Yolo V3 implemented in PyTorch – 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
27 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?
...
0
votes
0answers
22 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:
...
1
vote
1answer
62 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
71 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 ...
0
votes
0answers
23 views
How to implement Multiple Neural network architecture, connected in parallel and series in Keras or Pytorch
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
70 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 ...
0
votes
0answers
14 views
Limits for a bottleneck
I have some 64x64 pixels frames from a (simulated) video, with a spaceship moving on a fixed background. The spaceship moves in a straight line with constant velocity from left to right (along the x-...
1
vote
0answers
31 views
Add a layer derivative in the loss function
I am writing a NN in pytorch and I want to add the derivative of the output with respect to one of the inner layers in the loss. Here is a simple example of what I mean:
...
2
votes
1answer
45 views
How to add some data input in a CNN?
There is this problem I have encountered, I was trying to classify the pixels from input image into classes, sort of like segmentation, using a encoder-decoder CNN. The “interested” pixels usually ...
1
vote
1answer
38 views
How to properly optimize shared network between actor and critic?
I'm building an actor-critic reinforcment learning algorithm to solve environments. I want to use a single encoder to find representation of my environment.
When I share the encoder with the actor ...
1
vote
1answer
91 views
Heavy loss and inaccurate answer in pytorch
As my first AI model I have decided to make an AI model to predict multiplication of two numbers EX - [2,4] = [8]. I wrote the following code, but the loss is very high, around thousands, and it's ...
1
vote
1answer
149 views
LSTM is not converging
I am writing my first LSTM network and I would really appreciate if someone can tell me if it is right (the loss seems to go down very slowly and before playing around with hyper parameters I want to ...
2
votes
1answer
644 views
How to export Pytorch Deep Neural Networks trained model to C++ program to use it from C++?
I want to build a DNN model that I will later integrate into a C++ program.
I heard that PyTorch model is hard to load it on C++ and the integration requires extra code, and it's complicated.
I have ...
0
votes
0answers
213 views
`BCEWithLogitsLoss` and training class dataset imbalances in Pytorch
A bit of clarification on pytorch's BCEWithLogitsLoss: I am using : ...
3
votes
1answer
57 views
Mnist CNN Architecture
In this tutorial from Jeremy Howard: What is torch.nn really? he has an example towards the end where he creates a CNN for mnist. In nn.Conv2d he makes the ...
0
votes
0answers
40 views
How to make episode ending “good” in reinforcement learning?
TL;DR: read the bold. The rest are details
I am trying to implement Reinforcement Learning:An Introduction, section 13.5 myself:
on OpenAi's cartpole
The algorithm seems to be learning something ...
2
votes
1answer
440 views
Why isn't my model learning satisfactorily?
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": ...
