A Practical Introduction Martinez‐Ramon, Manel creator aut Ajith, Meenu aut Kurup, Aswathy Rajendra aut text xxu Wiley 2024 |||| 1 monographic eng

electronic

electronic resource

access 416pp.; An engaging and accessible introduction to deep learning perfect for students and professionals In 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 networks Perfect 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. specialized Manel Martinez‐Ramon, Meenu Ajith, Aswathy Rajendra Kurup Neural Networks Artificial Intelligence Algorithms & Data Structures Deep learning; machine learning; neural networks; convolutional neural networks; recurrent neural networks; long short-term memory; transformers; autoencoders; deep belief networks; generative adversarial networks; deep Bayesian networks; deep gaussian processes; deep learning examples; Python; Pytorch; Keras; Tensorflow; DL; ML; NN; CNN; RNN; LSTM; GAN; DBN 9781119861898 https://doi.org/10.1002/9781119861898 https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119861898 https://onlinelibrary.wiley.com/cms/asset/7ef58906-d1ed-41b7-b188-427c1f2bca2c/9781119861898.cover.gif https://doi.org/10.1002/9781119861898 https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119861898 https://onlinelibrary.wiley.com/cms/asset/7ef58906-d1ed-41b7-b188-427c1f2bca2c/9781119861898.cover.gif 240705 20251030120307.0 10.1002/9781119861898