Why do we need to call zero_grad() in PyTorch?
Why does zero_grad() need to be called during training?
neural-network
Loading a trained Keras model and continue training
I was wondering if it was possible to save a partly trained Keras model and continue the training after loading the model again.
NaN loss when training regression network
I have a data matrix in “one-hot encoding” (all ones and zeros) with 260,000 rows and 35 columns. I am using Keras to train a simple neural network to predict a continuous variable. The code to make the network is the following:
How do I check if keras is using gpu version of tensorflow?
When I run a keras script, I get the following output:
Tensorflow: How to write op with gradient in python?
I would like to write a TensorFlow op in python, but I would like it to be differentiable (to be able to compute a gradient).
Negative dimension size caused by subtracting 3 from 1 for ‘conv2d_2/convolution’
I got this error message when declaring the input layer in Keras.