Nicely designed course with perfect explanations and guidance for learning and applying Deep Learning and to develop Deep Neural Network based applications very fast.

THe course is not a course where you will just go along with the hints... You need to do lots of logical thinking and also a bit of googling to understand what to do.

It is very clear that videos and homework in the course are carefully crafted and carefully handled , and again thank Coursesa for providing such a good course for us

Really useful content, describes multiple techniques to significantly improve NN training & implementation. Certainly useful for making efficient & effective networks

I love the way Andrew teaches. I am very grateful to learn so many things in deep learning from this course on optimization and my first small project on tensorflow.

This is really a very good course to do after learning the theories about neural, I would have loved it even more had the tensorflow material had been slightly more.

Learned very important aspect of tuning hyper-parameters in neural networks. It helps in better understanding how neural networks works and how we can optimize them.

The Author(s) have made that the hard concepts are simplified to understand to maximum extent. I thank and appreciate the way Andrew NG has articulated the concepts.

The professor helps me to learn many new, fantastic Deep Learning algorithms and concepts like Exponential Weighted Sum, Momentum Gradient Descent and Adam. Amazing!

This course was great to build up deep learning intuition and turbocharge existing experience. Learn what to do when things don't go to plan as well as when they do.

This is another of Ng's brilliant courses on the subject of neuronal networks. It is probably the best of such courses of such kind. I have learned a lot. Thank you!

Course taught by Professor Ng is always cool! I really learned lots of things on Deep Learning, especially on hyperparameter tuning, Regularization and Optimization.

Once again prof. Ng delivers on a course with the perfect content and the perfect pace. His well thought out approach to the material makes going thru this a breeze.

great course. very helpful both the lectures and programming exercises. Reading Depp Learning textbook along by Goodfellow et all helps to broaden the understanding.

If you have taken a few Machine Learning and Deep Learning courses online, you would know why Andrew's courses are the most friendly, engaging, and beautifully made.

It is very helpful to learn about hyperparameters also last week you will get familiar with TensorFlow. I highly recommend this deep learning specialization course.

Great Course with Top Instructors. Even if you are the beginner and not calculus expert, the detail and clear explanation from Prof. Andrew Ng. surely will suffice.

I learned several optimization strategies as well as some regularization technics. It was also great to have got introduced in the using of ML specialized software.

This has been a great Course . After completing the course i am able to optimize a neural network by choosing the proper optimization and regularization parameters.

as with all Andrew's lessons, this was quite a nice learning experience. I am very slow in learning, and Andrew's explanations are absolutely a pleasure to revisit.

After taking course #1, This course really made it all concrete. The lectures were "spot on" and although challenging, it was a lot of fun working through the labs.

Amazing insights on how to improve and Tune deep neural network models and on using Tensorflow framework to implement quickly and speed the tunning experimentation.

Great course. The into notebook to tensorflow is little less intuitive, but in total I enjoyed also the second part of this series! Thanks a lot for all the effort!

Very useful module. The week 3 assignment should incorporate some batch norm exercises though, as the deep learning framework material is easy to pick up elsewhere.

Well structured and easy to follow. Provides a thorough understanding of the different optimizations we use in training NNets. Also good introduction to tensorflow.