This is very well designed course to understand the hyper parameter tuning in a systematic manner other to convege the model faster. Thank you Andrew and Deeplearning team.

I would recommend these series of courses in Deep Learning to any PhD student who's domain lies somewhere else. It is a great tool to apply to your specific research topic.

Another amazing course of Professor Andrew. I have deeply understood many useful techniques to tune up DL models, which I used to adjust in a non-systematic way previously.

Here was many new features for me, about DeelLearning NN training specific. Probably Tensorflow studing out of date. At least in such little volume. Better to learn Keras.

Really great course! The way Andrew Ng teaches is so simple and yet elegant. I've learned a lot from this curse, specially some techniques to improve deep neural networks.

It is a wonderful course. Prof. Andrew talks all you need to understand and also implement deep learning applications. Prof. Andrew is awesome. I like this specialization.

It is a very comprehensive course on neural networks, even though the assignments are somewhat too guided for my flavor. The assignments should demand more of the student.

Excellent review of hyperparameter tuning and concerned theoretical background. Although introduction to tensorflow was rather brief, the experimental setup was very good.

This is an excellent course. As usual, Andrew Ng gives clear and concise explanations. The programming exercises help to explain and better understand the course material.

As good as the first one with more insights in hyperparameters tuning and faster convergence techniques. The whole course finishes with a small introduction to TensorFlow.

A great course which gives valuable insights about all kinds of hyperparameters, and how to treat them. Also very nice programming examples with both numpy and tensorplow.

After this course, I've realized that I understand much better the terminology on papers, online demos, labs, etc. But most important, that I know how the black box works.

Andrew is an amazing instructor. He explains concepts very clearly and the programming exercises are super important to make ensure we can apply the concepts in practice.

Great course covering a range of complex topics. The assignments are very good and well as the theory behind all the steps. Professor Ng is an awesome teacher! Thank you!

This course teaches the mechanics of deep neural networks and how to optimize the neural net. Prof goes at a reasonable pace so that the student understands the concepts.

It provides us methods of optimization and acceleration. At last, there are NN programming framework listed. The examples shown are very intuitive, which I like very much

very clear and general, I think that he covered all the aspects of regularization and hyper parameters tuning. The last videos and assignment about tensorflow was amazing

It was a great course which helped me to strengthen my understanding of Neural Network even more. I would like to thank Andrew N.G. and the whole team behind this course.

In this course I learned or reviewed the following items in enough depth to perform in a job with them:

Initialization

Regularization

Batch Normalization

Optimizers

TensorFlow

Really well developed course. If you're looking to go into the AI, this course will be very helpful. It goes into great depth on how to optimize your learning algorithm.

Excellent course very detailed on the theory behind the hyperparameter tuning but could be a bit more hands on with tensorflow though week had some but it was very basic

No doubt, this is one of the best courses on Coursera. It has got a proper amalgamation of theory and programming assignments. Special thanks to Andrew Sir and Coursera.

Great course! It would be better if there is a summary of the workflow when one tries to solve a problem using deep neural networks with all of the techniques mentioned.

another great course by Andrew Ng, teaching us all about hyper-parameter optimization and DL frameworks. However the i did find TensorFlow 1 syntax really not inituative

this is a great course teaching practical aspects about deep learning, you can learn how to implement the regularization and optimization, also learn to use tensorflow