The aim of this implementation is to help to learn structure of basic LSTM (LSTM cell forward, LSTM cell backward, etc..)
Python 100.00%
basiclstm's Introduction
Basic Long Short Term Memory (LSTM)
Long Short Term Memory (LSTM) is a type of deep learning model that is mostly used for analysis of sequential data (time series data prediction).
There are different application areas that are used: Language model, neural machine translation, music generation, time series prediction, financial prediction, etc.
The aim of this implementation is to help to learn structure of basic LSTM (LSTM cell forward, LSTM cell backward, etc..).
Code is adapted from Andrew Ng's Course 'Sequential models'.
LSTM Cell
LSTM Forward Pass
Reference
Andrew Ng, Sequential Models Course, Deep Learning Specialization