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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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5651 - 5675 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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Oct 5, 2017

very good

By Sylvain D

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Oct 5, 2017

Excellent

By Denny M

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Sep 24, 2017

Nice! :-)

By LI S

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Sep 19, 2017

very good

By 霍宇琦

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Sep 18, 2017

thank you

By Hugsy W

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Sep 17, 2017

very good

By Santosh P

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Sep 17, 2017

Wonderful

By Yanqing Y

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Sep 13, 2017

very good

By Arturas N

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Sep 8, 2017

Good info

By hanpaopao

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Sep 7, 2017

very good

By chang c

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Sep 5, 2017

very good

By laixiaohang

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Sep 3, 2017

very good

By WXB506

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Aug 24, 2017

内容比较基础，不错

By Naman B

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Aug 23, 2017

Amazing !

By kai w

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Aug 22, 2017

very good

By Seyyed M M

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Jun 17, 2023

Awesome!

By SHANKAR K

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Feb 12, 2023

Awesome.

By Nam D

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Jul 24, 2021

Chicken

By Thomas L

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Jun 29, 2021

Amazing!

By Hasindri S W

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May 6, 2021

the best

By Musa B

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Feb 13, 2021

Amazing.

By Efecan A

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Nov 7, 2020

PERFECT!

By Leone V E

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Oct 21, 2020

exelente

By Malèk R

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Sep 12, 2020

Good Job

By Aravind R K

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Aug 26, 2020

Amazing!