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AI Features

One Hot Encoding

Understand the concept of one hot encoding and how it transforms categorical labels into binary vectors for multi-class classification. Explore its advantages over simpler encoding methods and see practical examples using the MNIST dataset to prepare your training data. This lesson equips you with the knowledge to implement one hot encoding efficiently to enhance machine learning workflows.

We'll cover the following...

Theory

Remember how we encoded labels while Preparing the input matrices? Back then, we only recognized 55 from other digits. So we encoded the labels by replacing 55 with 11 ...