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

I had the same problem, I was using Keras for a Multivariate regression problem. What I later realised was that some values in my dataset were nan and that led to a nan loss. I used the command:

df=df.dropna()

And it resolved my issue.