Building An LSTM Model From Scratch In Python

Author(s): Youssef Hosni

Originally published on Towards AI.

How to build a basic LSTM using Basic Python libraries

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Long short-term memory (LSTM) is a type of Recurrent Neural Network (RNN) that are particularly useful for working with sequential data, such as time series, natural language, and audio data. LSTMs are able to effectively capture long-term dependencies in data by using a combination of memory cells, input gates, and output gates.

In this article, I will be walking you through the process of implementing an LSTM model in Python, starting with explaining the building unit of the LSTM model and the forward and backward pass and how they work… Read the full blog for free on Medium.

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Published via Towards AI