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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,484 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

RR

Jun 13, 2020

Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video

NC

Jun 3, 2018

Just as great as the previous course. I feel like I have a much better chance at figuring out what to do to improve the performance of a neural network and TensorFlow makes much more sense to me now.

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5476 - 5500 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By IK O

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Jul 30, 2019

Excellent.

By Wenyu S

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Jul 30, 2019

Thank you!

By 龚子轩

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Jun 13, 2019

EXcellent!

By Dylan S

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Apr 20, 2019

Excellent!

By Марчевский В Д

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Apr 19, 2019

Very well!

By Wenhui T

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Apr 10, 2019

Very nice.

By ???

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Mar 11, 2019

very good!

By Hyeon S J

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Mar 6, 2019

Very Nice!

By 荣灿

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Feb 28, 2019

excellent!

By Gregory R G J

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Feb 10, 2019

Thumbs Up!

By Arun R

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Feb 6, 2019

Very good.

By Haris M

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Jan 26, 2019

Pure Gold!

By Sameerkumar_Ramakameshwara v

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Jan 15, 2019

Oustanding

By LeslieJ

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Dec 10, 2018

thanks all

By Laurence C

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Nov 23, 2018

Excellent!

By Tejas S S

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Nov 8, 2018

Wonderful!

By mvpzhao

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Nov 6, 2018

very good.

By Pawel B

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Nov 2, 2018

thanksssss

By Kyle Z

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Oct 9, 2018

g

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By Satyam S

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Sep 25, 2018

Excellent!

By Jonathan

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Sep 16, 2018

很有用，讲解也很到位

By Matthew R B

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Sep 12, 2018

Excellent.

By wangshunji

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Sep 11, 2018

very good!

By Abdullah E D

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Sep 9, 2018

thats good

By 刘锡明

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Sep 3, 2018

very good!