13 мар. 2019 г. · I really liked Deep Learning by Goodfellow, Bengio and Courville. Papers listed in its bibliography develop and get deep in most mathematical ...

3 июл. 2023 г. · I have a degree in maths and i am interested in learning about Convolutional Neural Networks from a mathematical/ theory point of view. [D] What is currently the best theoretical book about Deep ... [D] Which books are a great introduction to ML and Neural ... Best books for learning the maths behind neural networks (free?) Другие результаты с сайта www.reddit.com

Оценка 4,5 (193) · 64,19 $ This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning.

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning.

Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach.

120,00 $ The Handbook of Brain Theory and Neural Networks charts the immense progress made in recent years in many specific areas related to two great questions.

12 авг. 2024 г. · This book begins with essential concepts in descriptive statistics and probability theory, laying a solid groundwork for understanding data and probability ...

13 мар. 2019 г. · I'd recommend Deep Learning by Goodfellow, Bengio and Courville. I don't know if I'd call it purely mathematical, but it covers a good amount of math ...

109,99 $ Book Title: Neural Networks Theory · Authors: Alexander I. · Publisher: Springer Berlin, Heidelberg · eBook Packages: Engineering, Engineering (R0) · Copyright ...

25 авг. 2018 г. · This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning.