Deep Learning - Convolutional Neural Networks with TensorFlow - CNN Code Preparation

The video tutorial covers the implementation of convolutional neural networks (CNNs) for image classification using Tensorflow. It introduces datasets like Fashion MNIST and CFAR 10, explaining their significance and differences. The tutorial guides through building a CNN model, training, evaluating, and making predictions. It emphasizes the use of the Keras Functional API for cleaner and more flexible model design. The video also discusses data loading, data augmentation, and the importance of adhering to coding conventions in machine learning.

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