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

4.9
stars
62,857 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

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

XG

Oct 30, 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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4176 - 4200 of 7,218 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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 3439_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!

By Yasuo I M P

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Aug 12, 2020

I highly recommend this course

By JAJJARA P J P

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Jul 7, 2020

Loved the course.Great content

By praveen s

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Jun 24, 2020

This is an amazing course,..!!

By Shaswata D

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May 27, 2020

Really helpful fine-tuning nn.

By Tomislav T

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May 20, 2020

Good groundwork course! A must

By Masoud M H

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Apr 25, 2020

Very good practical assingment

By Ratnakar M

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Feb 2, 2020

Glad to have done this course.

By Karan A

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Jan 26, 2020

Notebooks didn't work properly

By Hubert S

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Dec 5, 2019

Excellent content thanks a lot

By Eugene L

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Nov 29, 2019

Overall great and substantive.

By 曹世朋

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Oct 12, 2019

没想到我也能用自行推导Adam，真是太酷了，谢谢吴恩达老师！

By Koosup

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Aug 5, 2019

hyperparameter에 대해 잘 배울수 있었습니다

By Hanifa _

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Jul 31, 2019

Excellent materials as always.