Deep learning without math. T. 2: Practice
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If you are interested in Machine Learning and Deep Learning, then this two-volume book is for you. This book is not like most other textbooks and guides on deep learning - it does not contain detailed algorithmic analysis, accompanied by extensive mathematics, nor detailed listings of program code. The author has chosen the golden mean - thanks to a friendly approach, accompanied by a huge number of color illustrations, as well as detailed and scrupulous description, he deeply covers the fundamental ideas of deep learning and neural networks. The second volume is devoted to neural networks - a rapidly developing field of machine learning. The first volume, published earlier by DMK Press, sets out the fundamental principles of deep learning. The publication is intended for all readers who want to use deep learning in their work. These are programmers, engineers, scientists, managers, musicians, doctors and anyone who wants to work with large amounts of data.
Data sheet
- Name of the Author
- Эндрю Гласснер
- Language
- Russian
- Translator
- В. А. Яроцкий