For a first time learner in this arena, this was a great intro to what and how to proceed. I could take the course a few more times to be ready to use this in industry. Excellent instruction.

This course contains great hints for optimisation and tuning. Even if you know about neural networks this course can still be valuable to fill in some gaps and help you improve your algorithms.

Really Amazing course! Highly recommended for all those who wants to go deep in deep learning and understand important methods and logics behind them. Programming assignments are very good too.

One of the best courses in its class, Prof.Andrew Ng has made it absolutely simple, yet, thorough. The assignments are focused and quickly take one through the crux of what is actually needed.

It is a great course, continuing with the first deep learning course. It is mainly about how to optimize for better results. And the programming assignments are down-to-earth and help me a lot.

Andrew Ng is so good at making things easy to understand and he gives you the most essential things you need to know in order to carry out real world machine learning tasks. Highly recommend :D

I learned a lot about setting up neural networks and what to expect when setting them up. Finally I understood the importance of using Tensorflow and other environments like it moving forward.

A must have course to know the effect of Hyperparameter tuning, and a great programming exercise on Tensorflow for Beginner. I highly recommend this course if you want to build accurate models

Amazing course, well structured. Learned a lot about tuning parameters and different optimisation algorithms. Looking forward to complete specialization. Thank you Coursera and Andrew Ng Sir.

Concise and comprehensible. A lot of ground is covered, but I found by taking notes by hand and replaying key parts of lectures, I was able to follow along and understand the course material.

Good course. Teaches you the practical aspects of deep learning. Take everything with a grain of salt. As Dr Ng has pointed out, deep learning knowledge of domain seldom translates to another.

Comprehensive course on deep neural net optimization skills, you will get a pretty complete understanding of how to make your nets work more efficiently and save a lot of time. Don't miss it !

The last part of the tensorflow tutorial (model() function) might need more explanation on the some tensorflow internal stuff: like I have a question, how does TF store the optimal parameters?

fantastic course, although programming assignments not as challenging as Andrew Ng's Machine Learning course, inviting experts like Yoshua Bengio to give insights is also uniquely valuable...

This course is really helpful for improving the structure of the nn model. The most important thing is that now I have some direction to keep learning and getting my algorithm better. Thanks~

Loved everything, great course, i would have liked a bit more detail on tensor flow, but i know Prof. Ng has taken out a tensor flow course now, i plan on taking that too. Thank you Everyone!

Great course for early machine learners to gather intuition and knowledge about how the code in deep learning frameworks actually do at the lower-level, but some typos still need to be solved

Interesting content, feel like building the deep learning/neural network bigger and more complex. Very good course series. Definitely recommend to my friends who are interested in this field.

Perfect Course! Perfect Intuition! Perfect Practical Learning! MUST TAKE!!!!

P.S: become more familiar with numpy before taking this course. Otherwise, you may not understand some of the code.

This course is quite helpful for me. It covers the fundamentals of neural network and tensorflow. It teaches knowledge of neural network in a systematic way and I have learned a lot from it.

The course was very good to make understand the hyperparameters in the neural network and how to optimize them to produce good accuracy over the model. I have learned a lot from this course.

This course is a very well structured course of Machine learning , where all the concepts are taught right from the most fundamental principles and that makes them easy to comprehend with.

Good summary for very basic but most important ideas/concepts of DNN. I will keep looking at it until I fully understand it.

DNN에 대한 기초적이면서도 가장 중요한 정보들을 잘 정리해 주셨습니다. 앞으로도 계속 다시 찾아와서 볼 내용들이네요.

This second course is an amazing addition to the first one, i have to say that it set me on the right path in my Deep Learning Journey. a BIG THANKS to everyone who helped make this Course.

This course provided me with invaluable insights into hyperparameters of a multi-layer perception and the important role their optimization plays in the performance of deep learning models.