I have a model in pytorch. The model can take any shape but lets assume this is the model I am using SGD optimizer, I want to set the gradient for ...
I have a model in pytorch. The model can take any shape but lets assume this is the model I am using SGD optimizer, I want to set the gradient for ...
I am using SGDRegressor with a constant learning rate and default loss function. I am curious to know how changing the alpha parameter in the function ...
The code outputs the TypeError: can't multiply sequence by non-int of type 'float'. I have already converted the values into floats at each possible ...
I ran into this weird behavior when trying to "manually" optimize a network's parameters via SGD. When attempting to update the model's parameters usi ...
. Answers to this question are eligible for a +50 reputation bounty. Ou ...
I assumed the "stochastic" in Stochastic Gradient Descent came from the random selection of samples within each batch. But the articles I have read on ...
I'm learning GAN and was trying to run the pix2pix GAN model on a custom dataset, my average generator loss per epoch and average Discriminator Fake a ...
I've been trying to train audio classification model. When i used SGD with learning_rate=0.01, momentum=0.0 and nesterov=False i get the following Los ...
initialize weights compute sigmoid computeing log-loss computing gradient w.r.t w computing gradiend w.r.t b implementing logistic rg ...
I'm working on a binary classification problem and I have an sgd classifier like so: I fitted it on my training set and plotted the precision-recal ...
I am running the stochastic gradient regressor from sklearn (docs). Here are the parameters I used: Unfortunately my epoch does not reach 2000. I ...
I tried to use SGD on MNIST dataset with batch size of 32, but the loss does not decrease at all. I checked my model, loss function and read documenta ...
I've run into some problems while trying to implement Stochastic Gradient Descent, and basically what is happening is that my cost is growing like cra ...
So I have an assignment to code Stoachastic gradient decent and basically i am finding it a bit of a problem to randomly sample from multiple vectors ...
I know this would seem similar to a lot of questions asked previously on the same topic. I have surveyed most of them but they don't quite answer my q ...
I am trying to implement a stochastic armijo rule in the get_gradient method of Keras SGD optimizer. Therefore, I need to calculate another forward pa ...
I have just started studying nueral networks and I managed to figure out how to derive the equations necessary for back propagation. I've spent nearly ...
What does pytorch SGD do if I feed the whole data and do not specify the batch size? I don't see any "stochastic" or "randomness" in the case. For exa ...
I am studying regression with Machine Learning in Action book and I saw a source like below : You may guess what the code means. But I didn't unde ...
I am training my network with early stopping strategy. I start with a higher learning rate, and based on validation loss, I need to restart training f ...