Thanks to Andrew and his team. The materials were easy to understand and the assignments helped gain confidence. My suggestion is to remove the 'fill in the blanks' type assignments and make it little more challenging.

Thank you Prof. Andrew Ng for such a wonderful course and getting me interested in Deep Learning domain! The concepts were explained in a simple and most-intuitive way! Love the explanations of concepts in the course!

I feel that programming exercise of the last week of this course does not cover full of the third week videos.The concepts like batch normalization, hyper-parameter tuning. Other than that this course is very helpful.

This course is excellent, I understand all the hyper parameters and underlying concepts in tuning them to optimize Deep Neural networks. The introduction to tensor-flow and practical session on it is very much useful.

Another great course, for getting your hands dirty with deep learning. Gained enough intuition about topics related with hyper-parameter tuning and learned about several optimization algorithms. Thanks for this course

Enjoyed the course and programming assignments alot. Gained knowledge regarding Adam Optimization and batch normalization and learnt how to implement neural network in tensorflow. Teaching by Andrew Ng sir is awesome.

Excellent Practical advice on Improving Deep Neural Networks, Interesting talk with Heros of Deep Learning: Yoshua Bengio and Yuanging Lin and good programming exercises including nice introduction to using TensorFlow

Another masterclass from Dr. Andrew on Deep Learning. This course helps us in building a perspective on identifying significant hyper parameters influencing the performance of Neural Networks and how we can tune them.

I'm a biologist. This course explains basic component of deep neural networks, and it is the most clearly explained course I've even taken. Through this course, I could implement deep neural network even with numpy !

Andrew's explanation is so crystal clear that it makes us program the most difficult aspects of Deep Learning to work on smoothly and easily with great clarity. It is a great experience always to learn from Andrew Ng.

I've came to this course specially to clarify hyperparameters and optimization algorithms. But decided to start from course 1 in order not to miss anything important.

I've got answers I was looking for! Thanks a lot!

Enterteining and insightful approach to DL. I find the programming assignments very useful, hands on practice. I feel that I am capable of implementing almost from scratch a real DL NN and I cant test it performance.

Excellent course. Andrew balances theory and intuition perfectly when explaining a method or an algorithm. He helps me to see not only why something is mathmetically correct, but also why it makes sense intuitively.

This course had cool insights into the workings of various optimization algorithms. It has definitely helped me go beyond the black-box understanding of Adams Optimizer / RMSProp / Momentum etc.

Highly recommended !

Even though setting up Neural Networks is easy, making them work according to our need requires a lot

of knowledge and practice.We get exposed to many such practices in this course.It was a great learning experience.

This is really good course. I have already learnt most of the topics through different books so I could complete the course very fast. Tensor flow is a very important tool and its inclusion in this course is a plus.

this course does a great job explaining concepts and providing guidance in the assignments. I sometimes wish they provided less scaffolding, but my assignments in this course will be a useful resource going forward

This course really helped me with some terms like L2 regularization, Dropout, Adam Optimization and finally implementing the whole idea on Tensorflow. Thanks a lot to Andrew and his associates! I loved this course.

I recommend this course to all the professionals who are working in market of deep learning & machine learning. This course will equip you with all types of necessary skills to cope with real world ML/DL challenges

This course introduces the basic and key concepts of neural networks which are essential in building deep neural networks based on their problem application. I loved how TensorFlow has been introduced with exercise

Not bad, but I felt the exercises had maybe a touch too much hand holding, and he never talked about how to compute the derivatives of Adam Optimization, though of course we promptly use Tensorflow to do it for us.

Excellent course to learn about Hyperparameter tuning, Regularization and Optimization. The concepts are well explained in an intuitive way. The programming assignments are really useful to apply what was learned.

I personally feel that this is one of the most important courses included in this specialization as it helps us tune our model to the best possible parameters. Don't skip this course at any cost, dear colleagues!!

this was amazing. Explained almost all the hyperparameters, why we need those and how can we optimizat those. along with regularization, dropouts. Everything was explained from need to the hands on implementation.

This is an awesome Deep Learning training course, Prof Ng depict all the key and hardest part of deep learning in this one single online course, which is still a mysteries for many people without going through it.