How to Reshape Input Data for Long Short-Term Memory Networks in Keras - Machine Learning Mastery

It can be difficult to understand how to prepare your sequence data for input to an LSTM model. Often there is confusion around how to define the input layer for the LSTM model. There is also confusion about how to convert your sequence data that may be a 1D or 2D matrix of numbers to the required 3D format of the LSTM input layer. In this tutorial, you will discover how to define the input layer to LSTM models and how to reshape your loaded input data for LSTM models. How to Reshape Input for Long Short-Term Memory Networks in Keras Photo by Global Landscapes Forum, some rights reserved.