Getting Started with Deep Learning with Python, Third Edition
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In this video, you’ll get a guided summary of the first chapter of Deep Learning with Python, Third Edition by François Chollet and Matthew Watson. The chapter sets the foundation for the rest of the book, introducing the core ideas behind deep learning and how they connect to modern AI systems. You’ll see how the authors frame neural networks, training loops, and model evaluation in a way that builds intuition before diving into implementation details. The goal is to help you understand what’s happening when you train a model in Python, not just how to run the code. This third edition reflects the current state of the field, including the evolution of deep learning workflows and tools. Whether you’re new to machine learning or revisiting the topic with more experience, the opening chapter offers a clear starting point for the journey ahead. 👉 Get the book here: https://hubs.la/Q0459lWm0 ⭐ Save 40% with code: watchchollet340
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