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

4.9
stars
63,380 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

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.

DD

Mar 29, 2020

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

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5801 - 5825 of 7,273 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Priyank R S

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Oct 25, 2017

Awesome

By guanghuiqi

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Oct 16, 2017

改善神经网络，

By 雷后超

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Oct 12, 2017

老师讲的非常好

By Oleg D

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Oct 2, 2017

awsome!

By anurag t

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Oct 1, 2017

awesome

By Rongjun L

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Sep 20, 2017

非常棒的课程。

By douxiao

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Sep 20, 2017

课程内容不错！

By Joshua L

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Sep 2, 2017

Amazing

By 书生杨

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Aug 21, 2017

perfect

By Anas I E

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Jan 15, 2024

Great!

By amir k

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Jul 2, 2022

great!

By spactempo

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Jan 28, 2022

Great

By Natthakorn K

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Sep 14, 2021

Greek.

By Tanishka M

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Apr 12, 2021

Great!

By PRASAD D

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Sep 2, 2020

Thanks

By Mahin

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Aug 1, 2020

Superb

By Dave L

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Jul 10, 2020

good !

By Adilson J J C

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May 20, 2020

THAMKS

By Mohamed Z K

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Apr 27, 2020

Thanks

By Daniel B

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Apr 23, 2020

Lovely

By Mohammad J P

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Mar 28, 2020

Great!

By Shawn B

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Mar 24, 2020

great!

By Abdelrahman R

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Feb 1, 2020

Thanks

By Bhanuka D

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Jan 6, 2020

great!

By Zheng H

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Aug 27, 2019

Good!!