If you're interested in diving into the world of deep learning, here are some highly recommended books that cover a range of topics from beginner to advanced levels.
"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville This is a comprehensive book that covers the fundamentals of deep learning and neural networks. It's considered a must-read for anyone serious about the field.
"Practical Deep Learning for Coders" by Andrew Ng This book is designed for those who want to apply deep learning to real-world problems. It's written by Andrew Ng, one of the pioneers in the field, and is suitable for beginners and intermediate learners.
"Deep Learning with Python" by François Chollet Written by the creator of Keras, this book is a great resource for those who want to learn how to implement deep learning algorithms using Python and Keras.
"Neural Networks and Deep Learning" by Michael A. Nielsen This book provides a gentle introduction to the subject, making it a good starting point for beginners.
For more resources and tutorials, check out our Deep Learning Resources section.
Here's an image of a neural network to give you a visual representation: