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
63,068 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

XG

Invalid date

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

YL

Invalid date

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.

Filter by:

3751 - 3775 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By monica

•

Oct 4, 2017

I would like more practice with TensorFlow

By Soubhik P

•

Sep 26, 2017

Very well designed course. Thanks you sir.

By 罗锟

•

Sep 13, 2017

very cool ! l have learned a lot from it !

By Alexey K

•

Sep 8, 2017

As usual, full of very lucid explanations.

By hadi n

•

Jun 28, 2023

Great like all courses provided by Andrew

By Brabeem S

•

Jul 23, 2021

amazing

i hated the tensorflow part though

By Moiz A S

•

Apr 9, 2021

Perfect and Detailed. Andrew is the best!

By Patrik O B

•

Mar 23, 2021

Great course! I recommend it to everyone.

By AFEF B

•

Oct 31, 2020

A great experience thank you Pr Andrew Ng

By Sanket B

•

Aug 19, 2020

good takeaways for hyper-parameter search

By Tainá A

•

Jun 29, 2020

Amazing how Andrew makes DL seem so easy!

By Mujun S

•

Jun 22, 2020

One of the best lectures I have ever had!

By Yogesh H

•

Jun 4, 2020

The Content and explanation is very good.

By Benjamin C

•

Mar 4, 2020

Good quality again in this specialization

By Vaibhav S

•

Jan 20, 2020

Its a very good course .I really enjoy it

By Bằng P C

•

Jan 14, 2020

A good course for optimize Neural Network

By Eric

•

Jan 13, 2020

it is great course. I have learned a lot.

By Chacko T

•

Dec 9, 2019

Lot of information not available in books

By Shawn H

•

Sep 23, 2019

Another outstanding class in this series.

By Yasar M

•

Sep 19, 2019

Deep learning is lolly pop with Andrew Ng

By Jose F P P

•

Jul 25, 2019

Excellent content with well explanations.

By mike v

•

May 1, 2019

Excellent course. I am telling everybody.

By Veeresh I

•

Apr 9, 2019

well explained and easily understandable.

By Neelkamal B

•

Dec 9, 2018

Very good pace of learning for beginners.

By Jedrzej P

•

Apr 29, 2018

Awesome!! Helps a lot in finding problems