I have a huge list of binary strings: [010101, 011111111, 0101111100011…]. The length of each string is different: from 1 to 10000 characters. The output of the Neural Network is simple: yes/no.
Can you please provide an example of how to define and train simple LSTM that works with this data? LSTM should read input character by character and at each step predict yes/no.