Best Books to Learn Deep Learning

Deep learning is a subset of machine learning in which we use artificial neural networks to train models to solve complex problems where we need a large amount of data compared to other machine learning algorithms. If you want to become a machine learning engineer, you must learn deep learning. So, if you are looking for the best books for learning deep learning, this article is for you. In this article, I will introduce you to some of the best books to learn deep learning.

Best Books to Learn Deep Learning

Deep Learning for Beginners

Deep Learning for Beginners is a beginners guide to learning deep learning from scratch by using the Python programming language. With this deep learning book, you will learn the fundamental machine learning concepts that you should know before getting started with deep learning. The mathematical concepts behind deep learning models are also covered in this book. 

You will also find examples and use cases that will help you easily understand the concepts of deep learning. This book uses TensorFlow and Keras to implement deep learning algorithms using Python. So you should know Python, TensorFlow, and Keras before you start with this book. You can find this book here.

PyTorch Deep Learning Hands-On

Just like TensorFlow, PyTorch is another Python library for building neural network architectures using Python. PyTorch is easy to learn and use compared to TensorFlow, and both of these libraries are used in the industry. So if you want to learn how to implement deep learning using PyTorch, this book is for you. In this book, you will learn how to implement CNNs, GANs, RNNs, and other neural network architectures using PyTorch.

You will also learn about building deep learning models and deploying them into production from this book. But I will not recommend you to buy this book if you are a beginner in deep learning. Only prefer this book if you already know the concepts of deep learning and neural network architectures and want to learn about their implementation using PyTorch. You can find this book here.


So these were some of the best books that you can use to learn deep learning. If you are a beginner in deep learning, then I will recommend you get started with Deep Learning for Beginners, and if you want to learn the implementation of deep learning using PyTorch, then you should start with PyTorch Deep Learning Hands-On. I hope you liked this article on the best books to learn deep learning. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal
Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder
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