Tuesday, November 8, 2022

All About LSTM Tutorial Series

This is the index page of the “All About LSTM in Tensorflow & Keras” tutorial series. We will cover all the topics related to LSTM with sample implementations in Python Tensorflow Keras. You can access the codes, videos, and posts from the below links.

You may also like to check out the SEQ2SEQ (SEQUENCE TO SEQUENCE) Learning tutorial series in which the LSTM layer has been used heavily.

If you would like to learn more about Deep Learning with practical coding examples, please subscribe to the Murat Karakaya Akademi YouTube Channel or follow my blog on muratkarakaya.net. Do not forget to turn on notifications so that you will be notified when new parts are uploaded.

Last updated: 11/05/2022

BLOG LINKS:

Part A: LSTM: An Introduction

Part B: LSTM: Understanding Output Types

Part C: LSTM: Understanding the Number of Parameters

Part D: Using LSTM layer in a Recurrent Neural Network Model

Part E: Basic Encoder Decoder Model with LSTM

Part F: Character Level Text Generation with an LSTM Model

FULL CODE LINKS:

You can access the complete codes as Colab Notebooks using the links given in each video description below or you can visit the Murat Karakaya Akademi Github Repo.