Tag

deep-learning

Six Questions with Andrew Trask

Privacy, Twitter, and Machine Learning

Andrew Trask, author of Grokking Deep Learning

By Frances Lefkowitz, Manning Development Editor

Andrew Trask is a researcher pursuing a Doctorate at Oxford University, where he focuses on Deep Learning with an emphasis on human language. He is also a leader at OpenMined.org, an open-source community of researchers and developers working on creating free and accessible tools for secure AI. Previously, Andrew was analytics product manager at Digital Reasoning, where he trained the world’s largest artificial neural network (with over 160 billion parameters) and helped guide the analytics for the Synthesys cognitive computing platform, which tackles problems in government intelligence, finance, and healthcare. Grokking Deep Learning is his first book.

Find Andrew online at his blog (iamtrask.github.io) and @iamtrask on Twitter.

PyTorch Crash Course, Part 3

From Deep Learning with PyTorch

by Eli Stevens and Luca Antiga

In this article, we explore some of PyTorch’s capabilities by playing generative adversarial networks.

PyTorch Crash Course, Part 2

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

In this article, we explore some of PyTorch’s capabilities by playing with pre-trained networks.

Get into Deep Learning


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From Grokking Deep Learning in Motion
By Beau Carnes

Deep Learning with Generative Adversarial Networks


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From GANs in Action
By Jakub Langr and Vladimir Bok

PyTorch Crash Course, Part 1

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

This article introduces you to PyTorch and discusses why you might want to use it in your deep learning projects.

Start Leveraging Deep Learning


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From Deep Learning with R in Motion
By Rick J. Scavetta

Put Deep Learning to good use!


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From Deep Learning with PyTorch
By Eli Stevens and Luca Antiga

First Steps into Deep Reinforcement Learning

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From Deep Reinforcement Learning in Action
By Alexander Zai and Brandon Brown

Deep Reinforcement Learning: the guide

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From Grokking Deep Reinforcement Learning
By Miguel Morales

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