NaN loss when training regression network

Question

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 continuou

Answer 1

Try to check your data if there are NAN values. Removing NAN values solve the problem for me.