We covered data presentation to an ANN, layers of an ANN, creating the model, gradient calculations for gradient descent algorithms, loss functions, and saving and restoring models. These topics are important precursors to the concepts and techniques that we will encounter in subsequent chapters when we develop neural network models.
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