Neural Networks for Machine Learning | Geoffrey Hinton | Coursera
Coursera
Comprehensive introduction to neural networks and machine learning from renowned expert Geoffrey Hinton. Covers fundamentals, advanced topics, and hands-on coding exercises.
University CoursesDeep LearningMachine LearningNeural Networks
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.
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