A Practical Approach to Timeseries Forecasting Using Python - LSTM Models

The video tutorial introduces Long Short Term Memory networks (LSTMs), a type of Recurrent Neural Network (RNN) designed to learn long-term dependencies. It covers the structure of RNNs, the use of the Keras RNN API for customization, and the basic setup for using TensorFlow and Keras in Python. The tutorial also explains how to import necessary layers and build a simple LSTM model, highlighting the flexibility and ease of prototyping with Keras.

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