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

4.9
stars
63,481 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

DD

Mar 29, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

XG

Oct 31, 2017

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.

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5776 - 5800 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Khaled G

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Jul 5, 2019

Great !

By Qiusi L

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May 29, 2019

perfect

By ChenTianyi

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Mar 31, 2019

amazing

By 唐章源

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Mar 27, 2019

perfect

By BEDOURET

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Mar 5, 2019

Super !

By Abhishek

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Jan 21, 2019

awesome

By Hassan E

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Jan 13, 2019

Amazing

By Sanket G

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Dec 20, 2018

Awesome

By Harkirat S A

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Dec 3, 2018

Awesome

By Dhruv D B

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Nov 28, 2018

Awesome

By anamika m

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Nov 26, 2018

awesome

By zhuziye

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Nov 20, 2018

perfect

By Vijesh R

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Oct 19, 2018

Nice :)

By baizhaofeng

•

Sep 8, 2018

一如既往的优秀

By YOLOV3

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Aug 28, 2018

Thanks!

By Mehmet A N

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May 14, 2018

perfect

By Jacques F

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May 6, 2018

perfect

By 王世超

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Apr 1, 2018

Prefect

By IceAzen

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Mar 26, 2018

thx~Ng!

By Muhamad F K

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Mar 14, 2018

Superb!

By aka 大

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Feb 22, 2018

perfect

By hongtao z

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Feb 15, 2018

Thanks!

By 石玉明

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Jan 28, 2018

COOL!!!

By 叶国祥

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Dec 16, 2017

Thanks!

By Saurabh B

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Dec 13, 2017

Perfect