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Are you looking for a book where you can learn about deep learning and PyTorch without having to spend hours deciphering cryptic text and code? A technical book that?s also easy and enjoyable to read ? This is it! In this second volume of the series, you?ll be introduced to deeper models and activation functions , convolutional neural networks , initialization schemes, learning rate schedulers, transfer learning , and more. By the time you finish this book, you?ll have a thorough understanding of the concepts and tools necessary to start developing, training, and fine-tuning computer-vision models using PyTorch . If your goal is to learn about deep learning models for computer vision, and you?re already comfortable training simple models in PyTorch, the second volume is the right one for you.