SEQ2SEQ LEARNING PART E: Encoder-Decoder for Variable Input And Output Sizes: Padding & Masking

Welcome to Part E of the Seq2Seq Learning Tutorial Series. In this tutorial, we will design an Encoder-Decoder model to handle variable-size input and output sequences by using Padding and Masking methods. We will train the model by using the Teacher Forcing technique which we covered in Part D.

You can access all my SEQ2SEQ Learning videos on Murat Karakaya Akademi Youtube channel in ENGLISH or in TURKISH. You can access all the tutorials in this series from my blog at www.muratkarakaya.net. You can access this Colab Notebook using the link.

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If you are ready, let’s get started!

Photo by Jeffrey Brandjes on Unsplash