Covers: implementation of Long short-term memory (LSTM)

- How to implement LSTM in python?

Read the whole article and try to use python with it

Ritesh Ranjan

Amir Parizi**Total time needed: **~3 hours

- Learning Objectives
- Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning
- Potential Use Cases
- Robot control, Time series prediction,Speech recognition,Rhythm learning, Music composition, Grammar learning, Handwriting recognition, Human action recognition.
- Target Audience
- ADVANCED

Go through the following **annotated items** *in order*:

VIDEO 1. Introduction to RNN

- What is RNN?

30 minutes

LIBRARY 2. RNN from scratch

- How to implement RNN in python from scratch?

20 minutes

VIDEO 3. Long Short Term Memory (LSTM) - Introduction

- What is LSTM and what is the math behind this model?

20 minutes

ARTICLE 4. Understanding LSTM

- What is LSTM and how different compartment work in this model?

25 minutes

LIBRARY 5. Implementing LSTM in python

- How to implement LSTM in python?

30 minutes

PAPER 6. Long Short-Term Memory (Optional- original paper)

- Where does this model come from?

30 minutes

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