11 Best Deep Learning Courses and Tutorials on Udemy

11 Best Deep Learning Courses and Tutorials on Udemy

Deep learning is a subset of machine learning that has networks capable of learning unsupervised from data that is unstructured or unlabeled.

In this article we are going to look at the best deep learning courses on Udemy for learning DL online.

These top deep learning courses on Udemy will teach you everything you need to know about deep learning.

Here are the top deep learning courses and tutorials to get you started in 2020.

CourseStudents
1. Deep Learning A-Z™: Hands-On Artificial Neural Networks264,854 
2. Complete Guide to TensorFlow for Deep Learning with Python77,911 
3. Natural Language Processing with Deep Learning in Python34,499
4. Modern Deep Learning in Python25,173 
5. Deep Learning Prerequisites: Linear Regression in Python24,866 
6. Deep Learning Prerequisites: Logistic Regression in Python22,966 
7. Deep Learning with Python and Keras19,138 
8. Unsupervised Deep Learning in Python15,738 
9. Deep Learning: Advanced Computer Vision18,123 
10. The Complete Self-Driving Car Course – Applied Deep Learning13,788 
11. Practical Deep Learning with PyTorch5,596 

Below, I have written a brief summary of what each of these best deep learning tutorials is about, what you’ll learn at the end of each course and who the course is best suited for.

1. Deep Learning A-Z™: Hands-On Artificial Neural Networks

Artificial intelligence is growing exponentially and the the further AI advances, the more complex become the problems it needs to solve.

These complex problems can only be solved through deep learning and that’s why it’s at the heart of artificial intelligence.

This is the best deep learning course that will teach you the very broad and complex subject of deep learning.

The deep learning tutorials have been grouped into two volumes, representing the two fundamental branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning

By taking this deep learning Udemy course, you will be confident that you understand all the techniques on an instinctive level.

In this course you will have an opportunity to work with both Tensorflow and PyTorch by comparing the two to learn which works best when.

2. Complete Guide to TensorFlow for Deep Learning with Python

This is one of the best deep learning courses that will guide you through how to use Google’s TensorFlow framework to create artificial neural networks for deep learning.

This deep learning tutorial aims to give you an easy to understand guide to the complexities of Google’s TensorFlow framework in a way that is easy to understand. 

This deep learning training serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning.

By taking this course, you’ll get to balance theory and practical implementation of deep learning.

You’ll get complete jupyter notebook guides of code and easy to reference slides and notes with plenty of exercises to test your new skills.

3. Natural Language Processing with Deep Learning in Python

This is one of the best deep learning courses on Udemy that will show you how to do some very awesome things in deep learning.

By taking this best selling deep learning tutorial, you’ll learn exactly how word2vec works, from theory to implementation, and you’ll see that it’s merely the application of skills you already know.

This is one of the best deep learning tutorial for learning the GloVe method, which uses a technique called matrix factorization, a popular algorithm for recommender systems.

Amazingly, the word vectors produced by GLoVe are just as good as the ones produced by word2vec, and it’s way easier to train.

Lastly, you’ll learn about recursive neural networks, which finally help us solve the problem of negation in sentiment analysis.

4. Modern Deep Learning in Python

Neural networks are one of the staples of machine learning, and they are always a top contender in Kaggle contests.

This is one of the deep learning courses on Udemy that will help you improve your skills with neural networks and deep learning.

In this deep learning course you will learn about batch and stochastic gradient descent, two commonly used techniques that allow you to train on just a small sample of the data at each iteration, greatly speeding up training time.

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You will also learn about momentum, which can be helpful for carrying you through local minima and prevent you from having to be too conservative with your learning rate.

This deep learning Udemy course will start from the basics so you understand exactly what TensorFlow variables and expressions are and how can you use these building blocks to create a neural network.

Along this deep learning tutorial, you’ll also get to look at a library that’s been around much longer and is very popular for deep learning called Theano.

5. Deep Learning Prerequisites: Linear Regression in Python

In this deep learning Udemy course you will learn about one popular technique used in machine learning, data science and statistics: linear regression.

This is one of the best Udemy deep learning courses that show you how to code your own linear regression module in Python.

Linear regression is the simplest machine learning model you can learn, yet there is so much depth that you’ll be returning to it for years to come.

You’ll finish this deep learning course by discussing some practical machine learning issues that you want to be mindful of when you perform data analysis, such as generalizationoverfittingtrain-test splits, and so on.

This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for FREE.

6. Deep Learning Prerequisites: Logistic Regression in Python

This one of the top deep learning courses on Udemy that covers a popular and fundamental technique used in machine learning, data science and statistics called logistic regression.

In this online deep learning course, you’ll learn how to code your own logistic regression module in Python.

This course provides you with many practical examples so that you can really see how deep learning can be used on anything.

This is the best deep learning course on Udemy for someone who want to learn logistic regression.

Another project at the end of this deep learning for beginners course shows you how you can use deep learning for facial expression recognition.

This deep learning course is best for you if you are a programmer and you want to enhance your coding abilities by learning about data science.

7. Deep Learning with Python and Keras

This course is designed to provide a complete introduction to deep learning for beginners.

Take this deep learning for beginners course if you are a programmer or data scientist who is familiar with Python and wants to understand and apply Deep Learning techniques to a variety of problems.

You’ll start with a review of deep learning applications and a recap of machine learning tools and techniques.

Then you’ll move into Artificial Neural Networks and explain how artificial neural networks are trained to solve Regression and Classification problems.

This practical deep learning course is a good balance between theory and practice.

If you are a software engineer who is curious about data science and about the deep learning buzz and want to get a better understanding of it then this is the deep learning for beginners course for you.

8. Unsupervised Deep Learning in Python

This is one of the deep learning best courses in 2020 for unsupervised learning, where you get to learn clustering and density estimation.

In this practical deep learning course you’ll start with principal components analysis (PCA), and a popular nonlinear dimensionality reduction technique known as t-SNE (t-distributed stochastic neighbor embedding).

You will then move onto a special type of unsupervised neural network called the autoencoder.

Along this deep learning Udemy course you’ll also get to look at restricted Boltzmann machines (RBMs).

These are yet another popular unsupervised neural network, that you can use in the same way as autoencoders to pretrain your supervised deep neural network.

Finally, you’ll finish this top deep learning course by bringing all these concepts together and discovering what happens when you use PCA and t-SNE on the features that the autoencoders and RBMs have learned.

9. Deep Learning: Advanced Computer Vision

This is one of the most exciting deep learning courses on Udemy that really shows how fast and how far deep learning has come over the years.

In this course, you’re going to bridge the gap between the basic CNN architecture to modern, novel architectures such as VGG, ResNet, and Inception.

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You’re going to apply these to images of blood cells, and create a system that is a better medical expert than you… which brings up a fascinating idea that the doctors of the future are not humans, but robots.

This is one of the best deep learning Udemy courses that will show you how to turn a CNN into an object detection system, that not only classifies images but can locate each object in an image and predict its label.

Take this deep learning online training if you want to take your knowledge of computer vision and deep learning to the next level.

10. The Complete Self-Driving Car Course – Applied Deep Learning

Self-driving cars, have rapidly become one of the most transformative technologies to emerge.

Fuelled by Deep Learning algorithms, they are continuously driving our society forward, and creating new opportunities in the mobility sector

This is one of the best deep learning courses that makes practical use of Deep Learning, and applies it to building a self-driving car, one of the most disruptive technologies in the world today.

With the help of the instructor of this deep learning training, you’ll be able to go from beginner to deep learning expert.

By the end of the course, you will have built a fully functional self-driving car fuelled entirely by Deep Learning. 

11. Practical Deep Learning with PyTorch

Deep learning underpins a lot of important and increasingly important applications today ranging from facial recognition, to self-driving cars, to medical diagnostics and more.  

Although most deep learning courses on Udemy are very mathematical or too practical in nature, this course strikes a careful balance between the two to provide a solid foundation in deep learning.

This one of the best deep learning tutorial on Udemy that is purposefully made for anyone without a strong background in mathematics.

By taking this course, you’ll get to practice and tweak the models until you truly understand every line of code as we go along

However, this is not a course that emphasizes heavily on the mathematics behind deep learning.

It instead focuses on getting you to understand how everything in deep learning works first which is very important for you to easily catch up on the mathematics later on. 

Deep learning surrounds us every day, and this will only increase with time.

Whether you are are thinking about self driving cars or face recognition technology at airports, it’s all driven by deep learning.

These are some of the best deep learning courses on Udemy that will help you pick this skill in a matter of weeks.

Why not give your company a competitive edge today by learning from these deep learning tutorials on Udemy?

Have you taken any of these Udemy deep learning training before?

Please share your experience in the comments below.

Larissa Nunes

I'm Larissa Nunes, a business analyst with a background in big data and business intelligence tools. So I like researching and writing about data science, machine learning and everything in between. A few times I have given talks on artificial intelligence...

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