While I am training, it seems like my loss is going down, but my accuracy remains constant throughout training. It always seems to go towards 0.0023 no matter how I tweak my network, input data length, etc.
My input data is a sequence of sample levels before a current sample level. So basically predict the current sample level based on the previous sample levels.
Network is Sequential:
Dense(seq_length) LSTM(seq_length*10) Dense(1)
Validation set is 0.33 of the total input samples.
Using Tensorflow Keras on Windows.
CSV of loss, accuracy, val loss, etc: https://pastebin.com/GPsmeUmg