Grokking-Deep-Learning

Grokking Deep Learning by Andrew W. Trask is a practical and beginner-friendly guide that teaches the fundamentals of deep learning in a simple and intuitive way. In Grokking Deep Learning, Andrew W. Trask focuses on helping readers understand how neural networks work by building them from scratch.

This hands-on book covers key concepts such as forward propagation, backpropagation, gradient descent, and training models without relying heavily on complex mathematics or advanced libraries. Grokking Deep Learning emphasizes learning by doing, making it ideal for beginners who want to gain real skills in artificial intelligence.

Andrew W. Trask’s clear explanations and step-by-step approach make Grokking Deep Learning accessible even for those with basic programming knowledge. The book gradually builds confidence by guiding readers through practical examples and coding exercises.

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