This book provides a systematic introduction to deep learning theory and conducts practices based on the MindSpore AI computing framework. The book is divided into fourteen chapters, covering the overview of deep learning, theoretical foundations, deep neural networks, convolutional neural networks, unsupervised learning, deep reinforcement learning, automated machine learning, end and cloud joint training, visualization, and data preparation. To facilitate the reader’s learning, the book also offers development examples and online resources related to deep learning that is realized based on MindSpore.

Chen Lei is a professor and Director of the Institute of Big Data at the Hong Kong University of Science and Technology. His research interests include data-driven AI, human machine learning, knowledge mapping, and data mining on social media.