Neural Networks and Deep Learning by Michael Nielsen
Neural Networks and Deep Learning - Table of Contents
- 1. Using Neural Nets to Recognize Handwritten Digits
- 2. How the Backpropagation Algorithm Works
- 3. Improving the Way Neural Networks Learn (Cost Functions & Regularization)
- 4. Visual Proof that Neural Nets Can Compute Any Function
- 5. Why Are Deep Neural Networks Hard to Train?
- 6. Introduction to Deep Learning & Convolutional Networks
- Appendix A. Is There a Simple Algorithm for Intelligence?
What You Will Learn in Neural Networks and Deep Learning
Neural Networks and Deep Learning by Michael Nielsen is a masterclass resource written for student programmers, data scientists, and machine learning practitioners. Serving as an essential deep learning textbook for computer science students, this volume demystifies the core principles powering modern artificial intelligence.
Nielsen’s step-by-step code-driven exposition enables readers to learn neural networks and deep learning step-by-step. Topics transition seamlessly from perceptrons and sigmoid neurons to gradient descent, stochastic optimization, overfitting prevention, and deep convolutional networks, making this a complete michael nielsen deep learning book pdf study reference.
Ideal for university courses, AI researchers, and self-taught developers, this online classic provides an outstanding free deep learning textbook for beginners. Available as an accessible educational reference, it stands as an indispensable machine learning study guide for self-learners mastering modern neural computation.
Book Details & Specifications
Title:
Neural Networks and Deep Learning by Michael Nielsen
Publisher:
Determination Press
Year:
2016
Pages:
224
Type:
PDF
Language:
English
ISBN-10 #:
3031296419
ISBN-13 #:
978-3031296413
License:
External Educational Resource
Amazon:
Amazon
About the Author: Michael A. Nielsen
The author Michael A. Nielsen
is a prominent Australian quantum physicist, computer scientist, and open science advocate, widely celebrated for co-authoring the standard university textbook on quantum computation with Isaac Chuang.
His open-access online masterwork, Neural Networks and Deep Learning PDF by Michael Nielsen, has helped hundreds of thousands of programmers worldwide master artificial intelligence from fundamental mathematical principles.
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