This book provides an in-depth explanation of neural networks and deep learning technology, focusing on explaining the core concepts of deep learning.
The author is oriented by technical principles, supplemented by examples of the MNIST handwritten digit recognition project throughout the book, introducing neural network architecture, backpropagation algorithm, overfitting solutions, convolutional neural networks, etc., And how to use this knowledge to improve deep learning projects.
After completing this book, readers will be able to solve complex pattern recognition problems by writing Python code.
Reader comments
This book is rich in content and explains in simple terms, making it very suitable for beginners. The author explains the core concepts of neural networks and deep learning in an easy-to-understand manner, and helps readers better understand through specific examples and code implementations. Moreover, many industry authorities have spoken highly of this book, which shows its value. I think this is a good book worth reading for both students studying artificial intelligence and people interested in this aspect.
Can be used as an introduction to machine learning and deep learning
It feels easy to understand, but it probably requires a little bit of math and electricity knowledge, and a little bit of computer knowledge.
Good looking, fat intestines look good
The lecture is very good 👍 I didn't understand anything in my four years of undergraduate studies. It took me three days to read this book, and I finally got started with deep learning.
Very good book. The key issues of deep learning are explained and discussed in detail.
This book is rich in content and explains in simple terms, making it very suitable for beginners. The author explains the core concepts of neural networks and deep learning in an easy-to-understand manner, and helps readers better understand through specific examples and code implementations. Moreover, many industry authorities have spoken highly of this book, which shows its value. I think this is a good book worth reading for both students studying artificial intelligence and people interested in this aspect.
Can be used as an introduction to machine learning and deep learning
It feels easy to understand, but it probably requires a little bit of math and electricity knowledge, and a little bit of computer knowledge.
Good looking, fat intestines look good
The lecture is very good 👍 I didn't understand anything in my four years of undergraduate studies. It took me three days to read this book, and I finally got started with deep learning.
Very good book. The key issues of deep learning are explained and discussed in detail.