Deep Learning has become one of the most in-demand skills in today’s technology-driven world. It is a subfield of machine learning that focuses on artificial neural networks and has proven to be extremely effective in solving complex problems. If you want to learn about Deep Learning, you will find that there is an abundance of resources available online, including numerous e-books. In this article, we will introduce you to 8 Free E-Books that will help you get started with Deep Learning.
Neural Networks and Deep Learning by Michael Nielsen
This e-book is a comprehensive introduction to Deep Learning. It covers the basic concepts of neural networks and explains how they work. The book also explores the backpropagation algorithm, which is essential for training neural networks. The book is available for free on Michael Nielsen’s website.
Deep Learning by Yoshua Bengio, Ian Goodfellow, and Aaron Courville
This e-book is an excellent resource for those who want to learn about Deep Learning from some of the field’s most prominent researchers. The book covers a wide range of topics, from the basics of neural networks to advanced topics such as generative models and reinforcement learning. The e-book is available for free on the authors’ website.
Dive into Deep Learning by Aston Zhang et al.
This e-book is an excellent resource for those who want to learn about Deep Learning using the MXNet framework. The book covers a wide range of topics, from the basics of neural networks to advanced topics such as image recognition and natural language processing. The book is available for free on the authors’ website.
The Hundred-Page Machine Learning Book by Andriy Burkov
This e-book is an excellent resource for those who want to learn about both Machine Learning and Deep Learning. The book covers a wide range of topics, from the basics of probability theory to advanced topics such as reinforcement learning and neural networks. The book is available for free on the author’s website.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
This e-book is an excellent resource for those who want to learn about Deep Learning using popular Python libraries such as Scikit-Learn, Keras, and TensorFlow. The book covers a wide range of topics, from the basics of neural networks to advanced topics such as recurrent neural networks and generative models. The e-book is available for free on the author’s website.
Building Machine Learning Systems with Python by Willi Richert and Luis Pedro Coelho
This e-book is an excellent resource for those who want to learn about building machine learning systems using Python. The book covers a wide range of topics, including supervised and unsupervised learning, neural networks, and deep learning. The e-book is available for free on the author’s website.
Practical Deep Learning for Coders by Jeremy Howard and Sylvain Gugger
This e-book is an excellent resource for those who want to learn about Deep Learning by writing code. The book covers a wide range of topics, from the basics of neural networks to advanced topics such as transfer learning and generative models. The e-book is available for free on the authors’ website.
Grokking Deep Learning by Andrew Trask
This e-book is an excellent resource for those who want to learn about Deep Learning in an intuitive way. The book covers a wide range of topics, including neural networks, backpropagation, and convolutional neural networks. The book is available for free on the author’s website.
Conclusion
Deep Learning is an exciting field that offers tremendous opportunities for those who want to learn and work in the area of artificial intelligence. These 8 Free E-Books are excellent resources that will help you get started with Deep Learning. Each of these books covers different aspects of the field, so it is recommended to explore them all to gain a comprehensive understanding of the subject.