Top 5 Deep Learning and Neural Network courses to learn in 2021
Tags: Machine Learning, Artificial Intelligence, Data Science, Neural Networks, Deep Learning

Top 5 Deep Learning and Neural Network courses to learn in 2021 javinpaul Follow Sep 19 · 9 min read

Deep Learning on Coursera by Andrew Ng

Hello guys, if you want to learn Deep learning and neural networks and looking for the best online course then you have come to the right place. Earlier, I have shared the best data science course, and today, I am going to share the best deep learning online courses from Udemy, and Coursera.

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 very tough to master.

If the subject matter is that tough, then how do you learn it better? Well, 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’s, and Kirill Eremenko on Udemy around who are not just the expert of 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 come 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 of 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 am going to share with you about deep learning in-depth.



Btw, 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. Only after you take that course, you should check these advanced courses to learn neural networks and deep learning in-depth.

5 Best Courses to Learn Deep Learning and Neural Network for Beginners

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 in simple words.

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 guys.

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 team.

Coming back to Andrew’s Deep Learning Specialization, which is a collection of five courses focused on neural network 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, understand how to build neural networks, and learn how to lead successful machine learning projects.

Here is the link to join this course — Deep Learning Specialization

You will also learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. 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 on the course.



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



If you are serious about deep learning, I strongly suggest you join this specialization and complete 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.