In this course I learned that we can actually gain the control of inner layers of a neural network using techniques such as Batch Norm. This learning path is very good. Thank you.

I had prior knowledge of the Keras and neural nets but never knew how these adam and other optimizer operates in depth. I learnt all these after this course. All thanks to Andrew.

This is an extremely important course, as it deals with lots best practices and nuts and bolts of Deep Learning that is the result of years of expertise and hard to find elsewhere

Andrew is not only a well known practitioner in the ML field, he is also an excellent teacher. His class has been designed to let people learn the subject in a very efficient way!

Superb Course, material, programming assignment and quiz :) .

Definitely take this course after learning about machine learning and deep learning, this is really going to help alot

Great course. The first one is an incredible introduction to Neural Networks, and in this course you really learn the whole thing, icluding all details. Completely recommended :)

A great follow-on to course #1 -- the concepts are introduced in a very consumable manner. Good mix of programming assignments and finishes up with a quick intro to Tensorflow.

Excellent - Very good lectures, Quizzes are setup very well to check the understanding of key items and The programming exercises are so good in particular with Python notebooks.

This course was really helpful for understanding Hyperparameter tuning, regularization and optimization. Thank you so much for this wonderful opportunity to learn from the best.

These course gives really insight in the working and how to make our models more efficient. One suggestion will be to include more on the tensorflow functions and their working.

In this course ,we can learn multi-series of method to enhance our model's performance and dive deep in some algorithm daily used factory such as mini-batch, drop out, Adam etc.

Wonderful course, this helped me to understand the neural net tuning better. Even though I had studied neural nets before, I learned a many things and perspective in this course

Good brief course but requires extra efforts from the user to fully understand the course by reading its material and memorizing the concepts not just to finish the assignments.

excellent course in terms of small things that matters a lot on the performance. hyperparameters & their tuning, regularization etc. Thank You Coursera for this amazing coursera

A helpful tutorial if you want to understand deeply how to tune your hyperparameters. It is also good for beginners and as well as those who are refreshing their passed lessons.

very thoughtful introduction to various learning optimizer. easy introduction into tensorflow.

it would be better if there is more content on the local optima/saddle point issue.

Really a Great course for the deep learning thanks coursera for prioviding me financial aid for the course and i am able to complete the course with in the time . Thanks a Lot .

Another amazingly useful class. One can't help but feel that anyone working in deep learning would greatly benefit from this course (and all the others in this specialization!).

A lot of useful informations about how to tune your net and what to know when implementing it! Very useful for those who want to know what's inside the "black box" of a Deep NN.

Very good course on addressing a number of NN hyperparamater issues that I came accross when I tried to build my first ML project after the first Andrew NG course at Stanford.

This course teaches you about the Hyper parameter tuning, Regularization and Optimization. This is one of the best Course which teaches core of Neural network and deep learning.

Great course. Andrew is a great teacher. He never goes too fast, and his simpler is better method works great. Learning something difficult like machine learning was a pleasure.

The discussion forum was helpful!. And hope that more exercises on tensorflow will be followed in upcoming courses. Because the introduction in the assignment was rather short.

Good, mainly theoretical introduction to hyperparameter optimization and neural network optimization in general. Includes a guided implementation of a classifier in TensorFlow.

This course is very much helpful to have a detailed knowledge about tuning process of hyper parameters and as usual Andrew sir is best! He explains everything with so much ease