Deep Learning - Crash Course 2023 - Summary-2

The video tutorial covers the creation of a neural network using TensorFlow. It begins with data preparation, including train-test split, followed by model creation where neurons, layers, and activation functions are specified. The model is then compiled with an optimizer and loss function. After fitting the model, its performance is evaluated using test data, achieving an accuracy of 88%. The tutorial concludes with a summary and a preview of advanced techniques in deep learning.

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