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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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4026 - 4050 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By VEMULAMANDA S K P V

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May 23, 2018

Concepts are explained very well :)

By Mohit A

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Apr 2, 2018

One of the best courses I ever had.

By Athul R

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Mar 15, 2018

Make the assignments more rigourous

By keerthivasan A

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Feb 20, 2018

Nice course to understand NN model.

By Stephen W

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Feb 11, 2018

awesome course, highly recommended.

By Imran Y

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Feb 4, 2018

Extremely useful practical advices.

By Hongjian H

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Dec 24, 2017

Very useful and excellent lectures!

By Radhakrishna J

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Dec 16, 2017

Best course to start Deep Learning.

By David H C

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Nov 22, 2017

Amazing Tips, Andrew Ng is the best

By William M

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Sep 30, 2017

Great followup to the first course!

By Andres M

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Sep 22, 2017

Extremely useful, also challenging.

By Martin J

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Sep 6, 2017

Great coverage of parameter tuning.

By Tom M

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Aug 24, 2017

Solid material for Deep Neural Nets

By Kaung H H

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May 23, 2022

Easy, Understandable explanations.

By Shreya S

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Sep 14, 2021

Amazing Content ! Very Insightful!

By Xixi Y

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Oct 28, 2020

excellent material and organiztion

By MoChuxian

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Sep 24, 2020

very nice course, thanks very much

By Ananya P

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Aug 31, 2020

great course!!! Thoroughly enjoyed

By Pranav M

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Jul 22, 2020

Best Course of the Specialization!

By Sreetama S

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Jun 6, 2020

Very helpful course. Thanks a lot!

By SANTAHANAMARI

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May 15, 2020

Very Clear presentation. Excellent

By Lester P

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Apr 19, 2020

Quedo muy satisfecho con el curso.

By Lam L

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Apr 17, 2020

Very detail and easy to understand

By Suraj V

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Feb 28, 2020

Very good course for deep learning

By Govind M

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Feb 11, 2020

lots of learning with key concepts