bookbestseller Posted July 5 Report Share Posted July 5 Deep Learning: A Practical Introduction by Manel Martinez-Ramon, Meenu Ajith, Aswathy Rajendra KurupEnglish | July 15th, 2024 | ISBN: 1119861861 | 416 pages | True EPUB | 29.89 MBAn engaging and accessible introduction to deep learning perfect for students and professionalsIn Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples.Combining contemporary deep learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch.Readers will also find:* Thorough introductions to deep learning and deep learning tools* Comprehensive explorations of convolutional neural networks, including discussions of their elements, operation, training, and architectures* Practical discussions of recurrent neural networks and non-supervised approaches to deep learning* Fulsome treatments of generative adversarial networks as well as deep Bayesian neural networksPerfect for undergraduate and graduate students studying computer vision, computer science, artificial intelligence, and neural networks, Deep Learning: A Practical Introduction will also benefit practitioners and researchers in the fields of deep learning and machine learning in general.[b]Uploady[/b]https://uploady.io/2befv61dxro2/xlfj0.7zRapidGatorhttps://rg.to/file/29d9c1abc87b0e6d534eaa263f4fd793/xlfj0.7z.html[b]UploadCloud[/b]https://www.uploadcloud.pro/dlx43jwevm8n/xlfj0.7z.htmlFikperhttps://fikper.com/YKRRmSd7hT/xlfj0.7z.htmlFreeDLhttps://frdl.io/n20hdfae9s4a/xlfj0.7z.html Link to comment Share on other sites More sharing options...
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