Deep Learning Fundamentals | Neural Networks, Machine Learning

Introductory book on deep learning fundamentals, covering neural networks, convolutional neural networks, recurrent nets, autoencoders, and deep learning use cases.

Introduction

An introductory book on deep learning fundamentals, covering topics such as neural networks and their applications in machine learning.

Highlights

• Covers neural networks and their applications in machine learning
• Provides a holistic approach to deep learning and answers fundamental questions
• Includes topics such as convolutional neural networks, recurrent nets, autoencoders, and deep learning use cases
• Introduces deep learning platforms and software libraries

Recommendation

This course is a great starting point for those interested in learning the fundamentals of deep learning. It covers a wide range of topics and provides a solid foundation for further exploration in the field of data science and machine learning.