🏈 TensorCraft Playbook: De CNNs de Sala de Aula a Cloud TPUs com Keras

This content describes the fundamental components of a Convolutional Neural Network (CNN) architecture, detailing feature extraction with Conv2D, spatial reduction with MaxPooling2D, regularization with Dropout, and classification using dense layers. It focuses on designing a balanced structure for hierarchical spatial pattern extraction in images.