Neural Networks for Machine Learning | Geoffrey Hinton | Coursera

Comprehensive introduction to neural networks and machine learning from renowned expert Geoffrey Hinton. Covers fundamentals, advanced topics, and hands-on coding exercises.

Introduction

This course, taught by Geoffrey Hinton, a pioneer in the field of neural networks, provides a comprehensive introduction to the fundamental concepts and techniques of neural networks and machine learning.

Highlights

• Covers the basics of neural networks, including how they work, how to train them, and how to apply them to real-world problems
• Explores advanced topics such as deep learning, convolutional neural networks, and recurrent neural networks
• Includes hands-on coding exercises and projects to reinforce the concepts learned
• Taught by a renowned expert in the field of machine learning

Recommendation

This course is highly recommended for anyone interested in learning about the fundamentals of neural networks and machine learning, whether you're a beginner or an experienced practitioner. The course is well-structured, easy to follow, and provides a solid foundation for further exploration in this exciting field.

YouTube Videos