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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

XG

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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

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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.

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4176 - 4200 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Andrew

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Oct 30, 2018

非常感谢coursera提供这么好的课程，内容很详实，收获很大

By Bình B N

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Sep 6, 2018

Very good tips. Clear advice :D

By Xuhaoshen

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Jul 1, 2018

Very Useful Course in Practice!

By CK S (

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Jun 17, 2018

可以很清楚地了解整個參數調整的涵義跟DL基礎理論與實務的銜接。

By YixiangWang

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Jun 17, 2018

i learnt a lot from Ng. Thanks.

By yifan

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Jun 11, 2018

Andrew is such a great teacher!

By Wenbo W

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Jun 8, 2018

an useful course and thank you!

By 劉劍峰

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Apr 1, 2018

This course helps me a lot. thx

By debneil r

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Mar 17, 2018

Learning TensorFlow was great!!

By Harsh S

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Mar 13, 2018

Great. I love you Andrew Ng Sir

By Han K

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Jan 19, 2018

excellent and insightful course

By Dharmik g

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Jan 4, 2018

Great Course and great learning

By lixu

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Dec 24, 2017

nice course, very appreciate Ng

By 振荟 王

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Oct 26, 2017

66666666666666666666666666

很值得学习

By Jerry Y

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Oct 11, 2017

Very nice and efficient course.

By 侍啸

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Oct 10, 2017

improve my deeplearning ability

By Netik A

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Oct 10, 2017

great things were taught easily

By Arun K S

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Oct 9, 2017

It was a awesome learn learning

By Jose P

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Aug 21, 2017

Great instructor, great course.

By Prasanna D

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Aug 19, 2023

It was an exceptional learning

By Jeremy A

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Jan 18, 2022

Excellent deep learning primer

By Jose N S

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Jan 5, 2021

Completely insightful, thanks!

By nesrine b

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Oct 30, 2020

thank you, such a great course

By Thomas L

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Sep 30, 2020

amazing as always with Andrew.

By Mr. S A

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Sep 9, 2020

It was so resourceful. Thanks!