I have multiple .csv's files, each of them represent a product. I am using LSTM to classify these products as good or bad. All .csv's have been clubbed together in form of a 3d matrix of (#files, time_steps, #features). I am passing the matrix in batch_size=128.
````below is the psuedo code.
model = Sequential()
model.add(LSTM(#cells(64), input_shape=(time_steps, #features)))
model.fit(train_X, train_y, batch_size=128, epochs=100, validation_split=0.1)
The problem is that I am getting NaN's in loss function and accuracy too is 0.000.
Can anyone suggest me where to look. Thanks in advance.