Chevron Left
Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
63,156 ratings

About the Course

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

Filter by:

1776 - 1800 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By David V

•

Feb 9, 2020

This is one of the most rewarding courses I've taken, and the quality of the material is absolutely stunning.

By FAIZAN P

•

Jan 12, 2020

Simple and clear explanation with good practice.

This course explains why Andrew Ng. is the best in the field!

By Daniel R

•

Jul 1, 2019

Great course for beginner to deep learning.I take this course after Machine Learning course by

Andrew Ng.

.

By Chayan B

•

Jun 26, 2019

I am getting and learning a lot of information through this course. Thank you Andrew Ng sir for such a course

By Regi M

•

Mar 20, 2019

The subject was covered in amazing detail. The highlight was that the great balance of concepts and practice.

By Clerc-Gherardi

•

Jan 13, 2019

It completes well the first course. I'll hope the next lectures will be as interesting as the two first were.

By Mohamad K

•

Sep 14, 2018

Its a great course really teach you all things you need in easy way , Many Thanx for prof Andrew and Coursera

By 도준Mark

•

Sep 10, 2018

Absolutely enjoyed the materials! Thank you for all of your dedicated efforts creating this incredible class!

By Deepthi B C

•

Jun 30, 2018

Very useful module. The techniques discussed are intuitive and help understand deep neural networks deeper :)

By Brighter A

•

Mar 12, 2018

The intuitions that accompany the principles of DL taught in this course is just one of a kind. I am grateful

By Yuning C

•

Feb 22, 2018

Looks like a simple course at the first glance. In fact, it contains much more information than you expected!

By Gema P

•

Feb 8, 2018

This course is practical and useful. The programming assignments are straightforward .

I would recommend this

By Hua W

•

Jan 26, 2018

Detailed instruction on optimization, hyper parameter tuning, batch normalization and deep learning framework

By Qi Z

•

Sep 21, 2017

Great course, help you to understand the real programming, also using 20min to let you understand Tensorflow.

By Joel O

•

Sep 13, 2017

Once again, an absolutely beautiful course, taught with great clarity and intuition! I loved every bit of it!

By vivek g

•

Sep 16, 2024

Andrew is amazing. So clear, patient, and concise when needed. I am learning a lot and enjoying the process.

By Ayush S

•

Apr 16, 2022

A great course for ML learner. Good understanding model optimization. Deeply show the proof of all concepts.

By David S

•

Feb 27, 2021

Continuing to provide great insight into the tuning of models. Plus a very fast introduction to tensorflow.

By Prithvi B

•

Aug 18, 2020

There is not a better course on Machine Learning then these series. Great work. Concept wise just excellent.

By Ruben G

•

Jul 23, 2020

This course is very well structured so one learns a great deal and in a natural way. Andrew Ng did it again!

By Kaushal K

•

Jul 5, 2020

It's pretty detailed with a near perfect balance of depth and breadth. Quite learning-friendly explanations.

By Zhe W

•

Mar 30, 2020

Very detailed so it is not hard to follow. Professor really put his heart and effort on this course. Thanks!

By Richard C

•

Jan 16, 2020

Excellent course to share all experiences on optimizating the Hyperparameters and regularization of Deep NN.

By Jeffry S

•

Sep 22, 2019

Another great course for deep learning. The assignments are really great especially the intro to Tensorflow.

By Abhishek A

•

Jul 23, 2019

course has given me deep insights in deep learning which is not possible to get from any other online course