This comprehensive textbook, "Understanding Deep Learning" by Simon J.D. Prince aims to provide newcomers with a strong conceptual foundation of deep learning principles without heavy mathematical proofs or extensive coding. It systematically introduces core concepts, starting with supervised learning and shallow neural networks, and then progresses to more advanced architectures like convolutional networks, residual networks, and transformers. The book also explores key aspects of deep learning algorithms, including loss functions, optimization, regularization, and unsupervised and reinforcement learning techniques. Furthermore, it addresses important ethical considerations and potential societal impacts of this rapidly evolving field.
Understanding Deep Learning - https://amzn.to/3YEVZ8g
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