his document offers a comprehensive introduction to deep learning using Python, with a strong focus on practical implementation through TensorFlow and Keras. It covers foundational concepts such as artificial neural networks, convolutional neural networks (CNNs), and training techniques. Ideal for beginners and intermediate learners, the guide includes code examples, visualizations, and step-by-step explanations to help readers build and understand deep learning models from scratch.
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