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

4.9
stars
63,175 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

AM

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

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4076 - 4100 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Milos D

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Dec 31, 2017

Excellent as every one from Andrew

By Tony Z

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Dec 5, 2017

Excellent course in deep learning.

By Aaron W

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Oct 21, 2017

easy understandable, good teaching

By Jean M A S

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Oct 18, 2017

Very good, like the first course !

By Zhi-lin L

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Oct 8, 2017

Ng tell you how to nudge the model

By hangtian.jia

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Sep 30, 2017

Great! Very fundamental materials!

By Hussein M

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Sep 18, 2017

Great and very interesting course.

By Iosif D R

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Sep 12, 2017

Sharp, fast, optimal and rewarding

By 王兆昱

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Aug 29, 2017

Very good course, thank you Andrew

By Maolin G

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Aug 24, 2017

well organised, densy information.

By Saai V P

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Sep 6, 2020

It was very useful and intuitive.

By Priyabrat D

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Aug 19, 2020

Prof Ng and his team are awesome!

By T K

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Aug 15, 2020

Thanks for building my intuitions

By Shahid s

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Jul 26, 2020

Thank you for such amazing course

By Amine

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Jul 19, 2020

Thank for this intresting course!

By Kunal K

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Jun 28, 2020

Very much informative and helpful

By ADARSH R

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Jun 23, 2020

Great course, his helped me a lot

By Sivagnana S S P

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Jun 15, 2020

Nice presentation by Mr.Andrew ng

By Abu M R

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May 5, 2020

Simply great learning experience!

By Or M

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Apr 4, 2020

very professional, very practical

By Janis R

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Jan 25, 2020

Nice intro to TensorFlow, thanks!

By Bhavesh W

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Jan 2, 2020

Great Learning from this course!!

By Waqas A

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Dec 2, 2019

Awesome course. Programming rich.

By Haris P D

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Oct 20, 2019

A must take course for beginners.

By Shengyang L

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Oct 1, 2019

Thanks a lot coursera！Well done.