Deep Learning - Crash Course 2023 - Keras Basics

The video tutorial explains how to build a neural network using Keras. It covers adding layers, specifying units, and using activation functions like sigmoid. The process involves creating a sequential model, compiling it with an optimizer, loss function, and metrics, and fitting it with training and validation data. The tutorial emphasizes the importance of defining input shapes and configuring the learning process. It concludes with a summary of the five-step process: data preparation, model definition, learning configuration, and model fitting.

Why is it important to specify the input shape when defining a model?

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Describe the five-step process for preparing a neural network model.

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