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Book Review: Math for Deep Learning

insideBIGDATA

One of my favorite learning resources for gaining an understanding for the mathematics behind deep learning is "Math for Deep Learning" by Ronald T. If you're interested in getting quickly up to speed with how deep learning algorithms work at a basic level, then this is the book for you.

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Rust Burn Library for Deep Learning

KDnuggets

A new deep learning framework built entirely in Rust that aims to balance flexibility, performance, and ease of use for researchers, ML engineers, and developers.

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PyTorch Tutorial: How to Develop Deep Learning Models with Python

Machine Learning Mastery

Last Updated on May 1, 2023 Predictive modeling with deep learning is a skill that modern developers need to know. PyTorch is the premier open-source deep learning framework developed and maintained by Facebook.

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Using Activation Functions in Deep Learning Models

Machine Learning Mastery

A deep learning model in its simplest form are layers of perceptrons connected in tandem. In PyTorch, there are many […] The post Using Activation Functions in Deep Learning Models appeared first on MachineLearningMastery.com.

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Deep Learning Key Terms, Explained

KDnuggets

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

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Deep Learning with R

KDnuggets

In this tutorial, learn how to perform a deep learning task in R.

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The Complete Free PyTorch Course for Deep Learning

KDnuggets

Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it's free?