Tag

deep-learning

A Match Made in Heaven

From Deep Learning for Natural Language Processing By Stephan Raaijmakers

slideshare-a-match-made-in-heaven

 

The Guide to Computer Vision

From Deep Learning for Vision Systems By Mohamed Elgendy

 

Anticipating your Opponent with Minimax Search

From Deep Learning and the Game of Go by Max Pumperla and Kevin Ferguson

This article shows you how to use the minimax algorithm to help your game bot decide its next move.

Learn the Math You Need for Today’s Hottest Careers!

From Math for Programmers by Paul Orland

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Privacy, Twitter, and Machine Learning

Six questions with Andrew Trask, author of Grokking Deep Learning

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.

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