Deep training without mathematics. Volume 1. Fundamentals
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If you are interested in machine learning (Machine Learning) and Deep Learning, then this two -volume for you!
Development and training of own neural networks
The use of neural networks to understand data and create new data
Assigning descriptive categories to texts, images and other data types
Prediction of subsequent values of the data sequence
Study of the structure of your data
Data processing with maximum efficiency
The perception of new knowledge and ideas and their application in practice
Getting the pleasure of discussing deep learning with other specialists
This book is not like most other textbooks and leadership guidelines - it has neither a detailed algorithmic analysis, accompanied by vast mathematics, nor expanded leaflets of the program code. The author chose the middle ground - thanks to a friendly approach, accompanied by a huge number of color illustrations, as well as a detailed and meticulous description, it deeply illuminates the fundamental ideas and fundamental foundations of deep learning and neural networks.
The publication is intended for all readers who want to use deep training in their work. These are programmers, engineers, scientists, managers, musicians, doctors and everyone who wants to work with large data volumes, extracting useful information from them or forming new data.
The continuation of the book will be devoted to the practical embodiment of deep learning algorithms
Development and training of own neural networks
The use of neural networks to understand data and create new data
Assigning descriptive categories to texts, images and other data types
Prediction of subsequent values of the data sequence
Study of the structure of your data
Data processing with maximum efficiency
The perception of new knowledge and ideas and their application in practice
Getting the pleasure of discussing deep learning with other specialists
This book is not like most other textbooks and leadership guidelines - it has neither a detailed algorithmic analysis, accompanied by vast mathematics, nor expanded leaflets of the program code. The author chose the middle ground - thanks to a friendly approach, accompanied by a huge number of color illustrations, as well as a detailed and meticulous description, it deeply illuminates the fundamental ideas and fundamental foundations of deep learning and neural networks.
The publication is intended for all readers who want to use deep training in their work. These are programmers, engineers, scientists, managers, musicians, doctors and everyone who wants to work with large data volumes, extracting useful information from them or forming new data.
The continuation of the book will be devoted to the practical embodiment of deep learning algorithms
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
ISBN:
ISBN:978-5-97060-701-5
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