Tag

deep learning

Going Inside Machine Learning and Deep Learning Algorithms

If you want to excel in ML and deep learning, you need to know more than how to implement the algorithms—you need to know them inside-out. This book delves into selected algorithms and teaches you how to build your own from scratch.

An Introduction to Working with BERT in Practice

From Deep Learning for Natural Language Processing by Stephan Raaijmakers

This article introduces you to working with BERT.

From Machine Learning to Automated Machine Learning

From Automated Machine Learning in Action by Qingquan Song, Haifeng Jin, and Xia Hu

This article covers

•   Defining and introducing the fundamental concepts of machine learning

•   Describing the motivation for and high-level concepts of automated machine learning

Training a Reinforcement Learning Agent to Play Soccer

In case you missed it, here is Miguel Morales’ live Twitch coding stream recap. For more, check out the book: Grokking Deep Reinforcement Learning. For more live coding streams, subscribe to Manning’s Twitch channel here: https://www.twitch.tv/manningpublications

How to Build a Serverless “Cat Detector” System Interactively

In case you missed it, here is Peter Elger and Eoin Chanaghy’s live Twitch coding stream recap. For more, check out the book: AI as a Service. For more live coding streams, subscribe to Manning’s Twitch channel here: https://www.twitch.tv/manningpublications

Converting Pure Deep Learning with PyTorch to Use Lightning and Hangar

In this video, machine learning expert Eli Stevens showcases how to use open-source libraries that are available in the PyTorch ecosystem to cut down the amount of the code that you want to write.

Hands-On Deep Learning Model Training

In this video, we join deep learning advocate Mark Ryan on his tour into training the model and running experiments.

Essential Tools for Deep Learning and Data Science

Learn the most important tools in the repertoire of a data scientist and machine learning practitioner – Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) – with the help of Krishnendu Chaudhury.

Automatic Differentiation in Python and PyTorch

Deep dive with Carl Osipov into understanding automatic differentiation used by PyTorch autograd for deep learning

Data Speaker Series: Kevin Ferguson on AlphaGo Zero

Kevin Ferguson, co-author of Deep Learning and the Game of Go, was our latest Data Speaker Series guest. He talked about how AlphaGo Zero combines tree search and reinforcement learning in a novel way.

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