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

4.9
stars
63,156 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

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

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

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4101 - 4125 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Haoran C

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Feb 23, 2019

I learned a lot from this course.

By Zoya

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Jan 26, 2019

Awesome course! Learned a lot! :D

By Jorge B

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Jan 4, 2019

Very practical, clear and useful.

By Brandon C

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Dec 6, 2018

Great info, and intuition sharing

By Max B

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Nov 21, 2018

Great course, highly recommended!

By reggie

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Oct 15, 2018

very helpful for tuning our model

By Vishal Y

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Sep 23, 2018

Hands down. Keep up the good work

By Sreedhar U

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Sep 6, 2018

Very crisp and clear explanation.

By Bhaskar G

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Aug 7, 2018

gives nice idea about tensorflow.

By 罗成毅

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May 30, 2018

I just want say, thank you a lot.

By Bart W J

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Apr 4, 2018

Pacing and structure are perfect.

By Yunfei D

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Mar 5, 2018

I learned a lot from this course.

By TengfeiShen

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Feb 1, 2018

本课程非常棒，从中学到了很多关于深度学习的知识，对于入门的获益匪浅

By Lin Z

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Dec 8, 2017

best and most practical DL course

By Jojo J M

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Nov 21, 2017

An extremely well drafted course!

By Sagar M

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Nov 19, 2017

Great course. Explains very well.

By Beno P

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Nov 19, 2017

Great course for beginner like me

By yuan j

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Nov 14, 2017

very good courses, help me a lot!

By Abhijeet s

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Oct 2, 2017

Oh tensor flow is a great help !!

By Summer Y

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Sep 23, 2017

Good and practical introductions.

By DJONA

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Aug 18, 2017

Great course with practical tools

By Syed I M

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Jul 18, 2024

It was great learning experience

By Wanmeng R

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Dec 30, 2022

very intuitive and comprehensive

By Badie T

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Oct 17, 2022

Very interesting personalities.

By ASHISH L

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Apr 24, 2022

well taught and very imformative