I am trying to train the following CNN as follows, but I keep getting the same error regarding .cuda() and I am not sure how to fix it. Here is a chunk of my co
a=tf.Variable(0, name='input') b=tf.constant(1) mid_val =tf.add(a,b) update_value =tf.compat.v1.assign(a,mid_val) tg=initialize_all_variables() with tf.compa
My idea would be to create a VAE or a GAN capable of generating new drugs, using graphs as representations for my molecules. Now I’m asking the real quest
I currently have a regression model that tries to predict a value based on 25 other ones. Here is the code I currently gave import tensorflow as tf import n
I'm working on a torch-based library for building autoencoders with tabular datasets. One big feature is learning embeddings for categorical features. In pra
I am trying to train a classification problem with two labels to predict. For some reason, my validation_loss and my loss are always stuck at 0 when training. W
I'm training a pytorch neural network on google colab to classify sign langauge alphabets of 29 classes in total. We've been fixing the code by changing vario