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Wednesday, April 6, 2022

Top 5 Online Courses to Learn Deep Learning in 2024 - Best of Lot

Learning Deep learning in-depth? Sounds recursive? No? It is, indeed. There is no doubt that Machine Learning is a tough subject, and in-depth knowledge, in particular, requires a lot of maths and complex terminology and is very tough to master. How do you learn it better if the subject matter is that tough? Choose a course that can explain this complex topic in simple words. We are actually blessed that we have many excellent instructors like Andrew Ng, Jeremey Howard, and Kirill Eremenko on Udemy, who are not just experts in deep learning but also excellent instructors and teachers.

I firmly believe that every programmer should learn about Cloud Computing and Artificial Intelligence, as these two will drive the world in the coming years. Data Science, Machine Learning, and Deep Learning are essential for understanding and using Artificial intelligence in many ways, and that's why I am spending a lot of my spare time learning these technologies.

My Machine learning journey started a couple of years ago when I came to cross Andrew Ng's excellent Machine Learning course on Coursera; it also happened to be Coursera's first course as Andrew Ng is also one of the founders of Coursera.

More than the course, Andrew inspired me to learn about Machine Learning and Artificial intelligence, and ever since that, whenever I read him like on his Deep Learning course launch on Medium, I always get excited to learn more about this field.

Another story that inspired me a lot was a Japanese farmer who used Google's TensorFlow and Machine learning to filter and sort Cucumber on his farm, which apparently only his mother could do because of her years of experience.

Stories are compelling; they not just teach but also inspire, and you find them a lot in these excellent courses, which I will share with you about deep learning in-depth.

If you are new to Machine learning, then don't start with these courses; the best starting point is still Andrew Ng's original Machine Learning course on Coursera. After taking that course, you should check these advanced courses to learn neural networks and deep learning in-depth.

5 Best Deep Learning Online Courses for Beginners in 2024

Without wasting any more of your time, here is my list of best courses to learn Deep learning in-depth. I have chosen courses that are suitable for both beginners and developers with some experience in the field of Machine learning and Deep Learning.

Even though Maths is an integral part of Deep Learning, I have chosen courses where you don't need to learn complex Maths concepts; whenever something is required, the instructor explains it in simple words.

1. Deep Learning Specialization by Andrew Ng and Team

Believe it or not, Coursera is probably the best place to learn about Machine learning and Deep learning online, and a big reason for that is Andrew Ng, who literally made Machine learning popular among developers. If you don't know, he is also one of the founders of Coursera, and his classic Machine learning course offered by Stamford is probably the first online course on Coursera.

Apart from that classic course, Andrew has created a couple of more gems like AI For Everyone, which is, again, I recommend to every programmer and non-tech guy. AI is not just for programmers but for everyone, and this is the best course to learn AI for all non-technical people like project managers, business analysts, operations, and event management teams.

Top 5 Courses to Learn Deep Learning and Neural Network in Depth - Best of Lot

Coming back to Andrew's Deep Learning Specialization, which is a collection of five courses focused on neural networks and deep learning, as shown below:

1. Neural Networks and Deep Learning
2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization
3. Structuring Machine Learning Projects
4. Convolutional Neural Networks
5. Sequence Models

Andrew follows a bottom-up approach, which means you will start from the smallest component and move towards building the product. In these five courses, you will learn the foundations of Deep Learning, how to build neural networks, and how to lead successful machine learning projects.

You will also learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, etc. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing.

The course is not just about boring theories; it's very hands-on and interactive. You will practice ideas in Python and in TensorFlow, which you will learn in the course.

The best part of the course is that you will hear from many top leaders in Deep Learning, who will share their personal stories and give you career advice, which is very inspiring and refreshing.

If you are serious about deep learning, I strongly suggest joining this specialization and completing all five courses. It may take between 3 to 5 months, but it's completely worth your time, and more than 500K learners have already benefited from this specialization.

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

If you don't have 3 to 5 months to spare but want to learn deep learning in detail, you should join this course. In this course, you will learn how to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts: Kirill Eremenko and Hadelin de Pontes.

This course will teach you almost everything you need to know as a Deep learning expert, not in the depth of the previous session but still good enough. It covers a lot of ground from basic to advanced deep learning concepts like ANN and CNN.

I really like how Kirill shows the models' intuitive part, and Hadelin writes the code for some real-life projects.

best Udemy course to learn Deep Learning

Talking about social proof, this course has been trusted by more than 170,000 students, and it has, on average, 4.5 ratings from close to 23K ratings, which is just amazing.

In conclusion, this is an exciting training program filled with intuition tutorials, practical exercises, and real-World case studies. I strongly recommend this course to anyone interested in Data Science and Deep Learning.

3. Introduction to Deep Learning

This is another impressive course from Coursera on Deep learning offered by the University of Colorado Boulder. Didn't I say that Coursera has the best Machine Learning course on the internet? Yes, this course is part of their Machine Learning: Theory and Hands-on Practice with Python Specialization.

Taught by Geena Kim, this course aims to give learners a basic understanding of modern neural networks and their applications in computer vision and natural language understanding.

The course starts with a recap of linear models and a discussion of crucial stochastic optimization methods for training deep neural networks. You will learn the basic building blocks of a neural network and how it works layer by layer.

Though, it's expected that you have good knowledge of Python and Mathematics. If you are not comfortable with Python yet, I suggest you take one of the top Python courses I have suggested before.

And, if you find Coursera courses, specialization, and certifications useful then I suggest you join Coursera Plus, a great subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It costs around $399/year, but it's completely worth your money as you get unlimited certificates.

best online course to learn Neural Network

4. Practical Deep Learning for Coders by

This is Jeremy Howard's classic course on deep learning. He is another awesome instructor in Deep Learning and Andrew Ng of Coursera and Kirill Eremenko on Udemy. Talking about his course, it's just the opposite of Andrew Ng's Deep learning course.

While the previous one takes a bottom-up approach, this course takes a top-down approach. You are first introduced to the product, and then you deep dive into individual parts.

The best part of this course is that it's very well structured and moves step by step, which helps build complex deep learning and neural network concepts.

5. Data Science: Deep Learning in Python

The MOST in-depth look at neural network theory and how to code one with pure Python and Tensorflow. If you ever wanted a course that can teach you how to create your own neural network from scratch, then this is the course you should join.

In this course, you will build your first artificial neural network using deep learning techniques. You will also find an in-depth explanation of the maths behind ANN, which is very important for data scientists.

The courses use Python and NumPy, a Python library for machine learning to build full-on non-linear. It will also teach you how to install TensorFlow and use it for training your deep learning models. I highly recommend this course to anyone who wants to know how Deep Learning really works.

best course to learn deep learning for beginners

That's all about some of the best deep learning online courses to master neural networks and other deep learning concepts. We have also learned useful Python libraries like TensorFlow, Pandas, and Numpy, which can help you with data cleansing, parsing, and analyzing for your deep learning models.

You can use any of these courses and online training to learn deep learning, but I highly recommend you to check the Deep Learning specialization on Coursera by Andrew Ng and the team. It's by far the most comprehensive resource on deep learning.

If you like this article, you may like my other Python, Data Science, and Machine learning articles as well:
Thanks for reading this article so far. If you like these best deep learning online courses, then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. - If you like to learn from free resources, then you can also check out this list of 5 free resources to learn Machine learning for Data Scientists and Programmers. It contains some free online courses from Udemy, Coursera, Pluralsight, and other places to learn ML.

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