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

4.9
stars
63,068 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

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

NC

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Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

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1776 - 1800 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

By Mohamadreza Z

Apr 14, 2019

That was AWSOME! It was really good and I'm pretty sure it would help me through my study and career!

Thanks!

By Bhishma

Mar 31, 2019

Very useful concepts, and well designed quizes and programming exercises that helps understand the concepts.

By Peter Y

Mar 18, 2018

This course taught me tuning hyperparameter technique and the NN framework such as Tensorflow. Thank Andrew.