You're reading from Advanced Deep Learning with Python

Product typeBook

Published inDec 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789956177

Edition1st Edition

Languages

Python

Tools

PyTorch TensorFlow

Concepts

Deep Learning

Author (1)

Ivan Vasilev

Section 1: Core Concepts

This section will discuss some core Deep Learning (DL) concepts: what exactly DL is, the mathematical underpinnings of DL algorithms, and the libraries and tools that make it possible to develop DL algorithms rapidly.

This section contains the following chapter:

Chapter 1, The Nuts and Bolts of Neural Networks

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Advanced Deep Learning with Python

Published in: Dec 2019Publisher: PacktISBN-13: 9781789956177

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Author (1)

Ivan Vasilev

Ivan Vasilev started working on the first open source Java deep learning library with GPU support in 2013. The library was acquired by a German company, with whom he continued its development. He has also worked as a machine learning engineer and researcher in medical image classification and segmentation with deep neural networks. Since 2017, he has focused on financial machine learning. He co-founded an algorithmic trading company, where he's the lead engineer. He holds an MSc in artificial intelligence from Sofia University St. Kliment Ohridski and has written two previous books on the same topic.
Read more about Ivan Vasilev

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