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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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5751 - 5775 of 7,238 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By ChenTianyi

Mar 31, 2019

amazing

By 唐章源

Mar 27, 2019

perfect

By BEDOURET

Mar 4, 2019

Super !

By Abhishek

Jan 21, 2019

awesome

By Hassan E

Jan 12, 2019

Amazing

By Sanket G

Dec 20, 2018

Awesome

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Dec 3, 2018

Awesome

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Nov 28, 2018

Awesome

By anamika m

Nov 25, 2018

awesome

By zhuziye

Nov 19, 2018

perfect

By Vijesh R

Oct 18, 2018

Nice :)

By baizhaofeng

Sep 7, 2018

一如既往的优秀

By YOLOV3

Aug 28, 2018

Thanks!

By Mehmet A N

May 13, 2018

perfect

By Jacques F

May 5, 2018

perfect

By 王世超

Mar 31, 2018

Prefect

By IceAzen

Mar 25, 2018

thx~Ng!

By Muhamad F K

Mar 13, 2018

Superb!

By aka 大

Feb 22, 2018

perfect

By hongtao z

Feb 14, 2018

Thanks!

By 石玉明

Jan 27, 2018

COOL!!!

By 叶国祥

Dec 16, 2017

Thanks!

By Saurabh B

Dec 12, 2017

Perfect

By Zhihui F

Nov 29, 2017

perfect

By Imtiaz K

Nov 29, 2017

perfect