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5 Deep Learning Books for Beginners That’ll Get You Started in No Time

If you’re looking to start learning about deep learning, there are a few essential books that you need to read. In this blog post, we will share with you five deep learning books for beginners that will give you a strong foundation in the field. So whether you’re a complete beginner or an experienced data scientist, these books are definitely worth reading!

Photo by Tom Hermans on Unsplash

1. Introduction to Deep Learning by Jason Brownlee

Jason Brownlee, PhD. has written a great introductory book on deep learning called “Deep Learning for Coders with Fastai and Pytorch”. This is an excellent read if you’re new to this topic or just want some background information about what’s happening behind the scenes when you use a deep learning model.

2. Deep Learning for Business by Bernard Marr

Bernard Marr is an expert in the field of big data and business intelligence. In his book, “ Deep Learning for Business “, he provides insights on how to apply deep learning techniques to improve your business’ performance. This is a great read if you’re interested in learning more about deep learning and its applications within the business.

3. Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

This book is a great introduction to the topic of deep neural networks for computer vision problems such as image classification or object detection. It’s written by three well-known experts: Ian Goodfellow, Yoshua Bengio, and Aaron Courville. This book is a great resource if you want to learn more about this topic but don’t have much time on your hands.

4. Deep Learning with Python by François Chollet

François Chollet has published an excellent book called “ Deep Learning with Python “ which is geared towards Python developers who want to learn about deep learning. This book covers a wide range of topics, from basic concepts to more advanced techniques. If you’re looking for a comprehensive guide to deep learning with Python, this is the book for you!

5. TensorFlow for Deep Learning by fast.ai and Google

This is another great book to learn about deep learning and how it works. It was written by fast.ai and Google, so you can be sure that this is a high-quality resource! If you’re looking for an introduction to deep learning with TensorFlow then this would be perfect for you.

If you’re looking for a comprehensive guide to deep learning, these books are a great place to start. Deep learning can be daunting, but with the right resources, it’s definitely achievable. We hope that this list of books has helped you get started on your journey to mastering deep learning. Are there any other deep learning books that you would recommend? Let us know in the comments below!

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Yaniv Noema

Yaniv Noema

I’m a computer vision 💻👁️engineer who likes to write about artificial intelligence, machine learning, image processing, and Python🐍

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