3Blue1Brown: Neural Networks
Grant Sanderson
  • Course duration: 1h 2m
    22 exercises
Mathematician Grant Sanderson—better known on YouTube as 3blue1brown—simplifies the complex topic of deep learning through his unique visuals-first approach. In Neural Networks, FREE ON LIVEVIDEO, the number 1 course has been enhanced and extended exclusively for Manning! Through stunning visualizations, storytelling, and animation, you’ll discover what neural networks are and how they deliver their incredible results. This liveVideo extended edition is absolutely free, and comes complete with extra assessments and additional resources drawn from quality Manning content.

About the subject

Neural networks, a form of machine learning based on the human brain, has driven some of the biggest breakthroughs in artificial intelligence. Now, by working through this incredible liveVideo course, you can really understand how neural networks really work. Grant Sanderson’s Neural Networks helps you understand what a neural network actually is, and how to use that knowledge to get better results from your experiments in deep learning.

About the video

Enhanced with assessments and bonus explanatory chapters from Manning books, Neural Networks simplifies neural networks, the core component of deep learning. In this enhanced and expanded version of his video series, YouTube star Grant Sanderson—aka 3blue1brown dazzles you with crisp explanations and striking animations. Starting with a simple neural network, you’ll open up the black box of deep learning and explore the math and theory below the surface. Thanks to Grant’s visualizations, storytelling, and animations, you’ll quickly get your head around the complex concepts that drive this powerful tool for modern machine learning. This liveVideo course is ABSOLUTELY FREE. Just add it to the cart for $0.00 and check out.
Table of Contents detailed table of contents

Neural networks

But what is a Neural Network?

Neural Network exercises

Gradient descent, how neural networks learn

Gradient Descent exercises

What is backpropagation really doing?

Backpropagation exercises

Backpropagation calculus

Backpropagation exercises

Learn more!

Manning titles

Prerequisites

You’ll need basic math skills and an introductory knowledge of machine learning.

What you will learn

  • What a neural network is and how it learns
  • How the backpropagation algorithm functions
  • Derivatives in computational graphs
  • Exercises to enhance your understanding
  • Links to additional resources to further your knowledge

About the instructor

Grant Sanderson studied mathematics at Stanford, with a healthy bit of computer science along the way. His YouTube channel 3blue1brown presents math with a visuals-first approach and has over 2.2 million subscribers.

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