Blog_Banner_Asset
    Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconArtificial Intelligencebreadcumb forward arrow iconTop 10 Deep Learning Books to Read to Gain Expertise

Top 10 Deep Learning Books to Read to Gain Expertise

Last updated:
12th Nov, 2022
Views
Read Time
6 Mins
share image icon
In this article
Chevron in toc
View All
Top 10 Deep Learning Books to Read to Gain Expertise

As the adoption of artificial intelligence (AI) continues to grow, the demand for professionals with AI-related skills also increases. One such skill that is in high demand is deep learning. Deep learning is a branch of AI that deals with algorithms that can learn from data in an unsupervised way. It focuses on trying to make machines understand human speech and images by training them to identify patterns in data.

To become a certified expert in this field, you must obtain knowledge and build a strong foundation to advance your career. For that, the first step you can take is to read relevant books. To help you with that, here is a list of different deep learning subtopics and some relevant books you can pick up for each subtopic. These books will help you understand deep learning and its use today.

Enroll for the Machine Learning Course from the World’s top Universities. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career.

Introduction to Deep Learning

The Introduction to Deep Learning book is perfect for anybody who is curious but lacks any background knowledge of how things work in Deep Learning. Reading the book, you’ll find that deep learning is the process of training artificial neural networks on large amounts of data, intending to create systems that can learn independently without human intervention. It combines deep neural networks and various statistical modelling algorithms, and machine learning. The book also talks about deep neural networks, which are essentially computer programs inspired by the architecture of the human brain. They’re employed when the task is too complex for traditional algorithms.

Ads of upGrad blog

 Deep learning enables us to solve previously difficult or even impossible problems, such as image recognition and autonomous vehicles. Get a hold of this book to understand the basics of this subset of machine learning and get a hold of various underlying concepts.

Python for Deep Learning

Python is the most popular language for data scientists and machine learning engineers. It’s a general-purpose language that’s easy to learn yet powerful and scalable. Python’s large and active community contributes to its ever-growing list of libraries and tools. The best books to learn deep learning with Python are: 

  • Introduction to Machine Learning with Python – This book is a fantastic introduction to machine learning. 
  • Machine Learning with Python – This book is aimed at developers who want to implement machine learning algorithms in their applications.
  • Deep Learning with Python – This book is ideal for those who want to implement deep learning algorithms with Python.

Best Machine Learning and AI Courses Online

Neural Network in Deep Learning

A neural network is a computational model inspired by the human brain. Neural networks are composed of “nodes” that are arranged in layers. The first layer might be the “neurons” themselves, which receive input from other neurons in the next layer, with the final layer producing an output. The network is trained by supplying a set of examples, with the output of each node in each example used to adjust the connection strength between nodes in the network. 

Over time, the network learns which inputs are best forwarded to the final layer. A neural network solves problems by finding patterns in large amounts of data and then making predictions based on those patterns. Some of the most valuable books that you can read to get a better understanding of Neural Networks in Deep Learning are:

  • Neural Networks and Deep Learning – This book introduces how neural networks are constructed and the mathematics behind their work. 
  • Make your own Neural Network – an in-depth visual introduction for beginners – Read this book to take a visual tour of the construction and working of neural networks using Python. 

In-demand Machine Learning Skills

Advance Deep Learning with RL and ML

Reinforcement learning and machine learning are subfields of deep learning. Reinforcement learning is a type of machine learning in which software agents experience a simulation and try to maximize their final score. These agents learn by trial and error, just like humans do. Reinforcement learning is most commonly used in robotics, and it’s essential for self-driving cars, games, and any other application where software agents make decisions autonomously in a simulated environment. 

On the other hand, machine learning is a broader field of study that includes all types of supervised and unsupervised learning algorithms. Some of the best books that you can read to get started with advanced deep learning with RL and ML include: 

  • Deep Reinforcement Learning – A Complete Self-Assessment Guide – This book will help you become comfortable with RL and its use in deep learning contexts. 
  • Deep Reinforcement Learning with Python – This book is the perfect start if you are familiar with the Python programming language and want to understand how it can be used to create deep RL models. 

Popular AI and ML Blogs & Free Courses

Deep Learning with Tensorflow

TensorFlow is Google’s open-source framework for doing machine learning and deep learning. It was developed by Google and is used in many Google products and services. TensorFlow is a powerful tool widely used by data scientists and machine learning engineers. The best books to learn deep learning with Tensorflow are: 

  • Deep Learning with TensorFlow – This book is an excellent resource for both beginners and advanced users of TensorFlow. 
  • TensorFlow for Deep Learning – This book is ideal for practitioners who want to apply deep learning with TensorFlow for commercial use. 
  • Introduction to Deep Learning with TensorFlow – This book is appropriate for data scientists who want to understand and implement deep learning with TensorFlow.

Conclusion

Deep learning is a sophisticated form of machine learning critical to many modern applications, including computer vision, natural language processing, and other areas of artificial intelligence. It enables computers to process information more human-likely by training large neural networks on a massive amount of data. 

Ads of upGrad blog

Deep learning is applied in various industries, including healthcare, education, and finance. This field is still in its infancy, and many cutting-edge innovations are still being developed. Despite that, the impact of this field can’t be questioned or doubted. With time, the impact will only get greater as more advancements happen. So, if you wish to begin your career in deep learning, now is the right time to start mastering the fundamentals.  

At upGrad, our Advanced Certificate in Machine Learning and Deep Learning, offered in collaboration with IIIT-B, is an 8-month course taught by industry experts to give you a real-world idea of how deep learning and machine learning work. In this course, you’ll get a chance to learn important concepts around machine learning, deep learning, computer vision, cloud, neural networks, and more. 

Check out the course page and get yourself enrolled soon! 

Profile

Pavan Vadapalli

Blog Author
Director of Engineering @ upGrad. Motivated to leverage technology to solve problems. Seasoned leader for startups and fast moving orgs. Working on solving problems of scale and long term technology strategy.
Get Free Consultation

Select Coursecaret down icon
Selectcaret down icon
By clicking 'Submit' you Agree to  
UpGrad's Terms & Conditions

Our Popular Machine Learning Course

Frequently Asked Questions (FAQs)

1Do I need to know Python before learning Deep Learning?

Yes, you should have some working knowledge of how basic programming works. That said, you don’t need to be an expert programmer, and nor do you need to be very proficient with Python. All that is needed is just some idea of how programming works and the curiosity to learn new things.

2Does Deep Learning involve mathematics?

Deep learning works on mathematical models of how our mind works. So, in essence, deep learning does involve mathematics.

3Are books a good source to get started with deep learning?

If you are completely unaware of what deep learning is and what it offers, then books are the perfect way to get elementary knowledge before diving deeper and doing things more hands-only.

Explore Free Courses

Suggested Blogs

Top 9 Python Libraries for Machine Learning in 2024
74614
Machine learning is the most algorithm-intense field in computer science. Gone are those days when people had to code all algorithms for machine learn
Read More

by upGrad

19 Feb 2024

Top 15 IoT Interview Questions & Answers 2024 – For Beginners & Experienced
63946
These days, the minute you indulge in any technology-oriented discussion, interview questions on cloud computing come up in some form or the other. Th
Read More

by Kechit Goyal

19 Feb 2024

Data Preprocessing in Machine Learning: 7 Easy Steps To Follow
147820
Summary: In this article, you will learn about data preprocessing in Machine Learning: 7 easy steps to follow. Acquire the dataset Import all the cr
Read More

by Kechit Goyal

18 Feb 2024

Artificial Intelligence Salary in India [For Beginners & Experienced] in 2024
906695
Artificial Intelligence (AI) has been one of the hottest buzzwords in the tech sphere for quite some time now. As Data Science is advancing, both AI a
Read More

by upGrad

18 Feb 2024

24 Exciting IoT Project Ideas & Topics For Beginners 2024 [Latest]
745823
Summary: In this article, you will learn the 24 Exciting IoT Project Ideas & Topics. Take a glimpse at the project ideas listed below. Smart Agr
Read More

by Kechit Goyal

18 Feb 2024

Natural Language Processing (NLP) Projects & Topics For Beginners [2023]
105599
What are Natural Language Processing Projects? NLP project ideas advanced encompass various applications and research areas that leverage computation
Read More

by Pavan Vadapalli

17 Feb 2024

45+ Interesting Machine Learning Project Ideas For Beginners [2024]
324130
Summary: In this Article, you will learn Stock Prices Predictor Sports Predictor Develop A Sentiment Analyzer Enhance Healthcare Prepare ML Algorith
Read More

by Jaideep Khare

16 Feb 2024

AWS Salary in India in 2023 [For Freshers & Experienced]
903676
Summary: In this article, you will learn about AWS Salary in India For Freshers & Experienced. AWS Salary in India INR 6,07,000 per annum AW
Read More

by Pavan Vadapalli

15 Feb 2024

Top 8 Exciting AWS Projects & Ideas For Beginners [2023]
95863
AWS Projects & Topics Looking for AWS project ideas? Then you’ve come to the right place because, in this article, we’ve shared multiple AWS proj
Read More

by Pavan Vadapalli

13 Feb 2024

Schedule 1:1 free counsellingTalk to Career Expert
icon
footer sticky close icon