The Deep Learning Textbook is a complete, authoritative guide that covers the foundational principles and advanced techniques of deep learning. Designed for both beginners and advanced learners, this textbook explores critical topics such as neural networks, backpropagation, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and deep reinforcement learning. With a focus on both theory and hands-on coding exercises, the book equips readers with practical skills using tools like TensorFlow and PyTorch. This resource is ideal for students, researchers, and professionals looking to master the rapidly advancing field of artificial intelligence.
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