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

4.9
stars
63,510 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

DH

Apr 27, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

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3901 - 3925 of 7,287 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Oreste M

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Jun 3, 2020

Once again I could not stop learning !

By Julien L

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Apr 24, 2020

Great content and very well explained.

By Jia H O (

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Feb 9, 2020

Very in-depth explanations! Thank you!

By Praveen P

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Jan 11, 2020

Easy to follow and very informational.

By Krishanu B

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Oct 27, 2019

Beautiful course. Very much Satisfied.

By Gilvandro F d M N

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Jan 29, 2019

great journey into deep learning world

By Chenna G

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Nov 21, 2018

Excellent Course.. Andrew Ng is great.

By Madhukar R

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Oct 10, 2018

Loved the introduction of tensor-flow.

By S V R

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Sep 30, 2018

excellent set of videos and assignment

By narendra s

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May 19, 2018

Great course for hyperparameter tuning

By Prakalp S

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Mar 27, 2018

Very happy with Tensorflow assignment

By Keshav M

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Mar 2, 2018

Andrew ng is the best professor online

By 江義淵

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Jan 14, 2018

Many practicle issues are very useful!

By Sumandeep B

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Jan 2, 2018

lots of nice usefull insights to learn

By Zhejian P

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Dec 28, 2017

Very Useful Content. Just right for me

By William v

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Dec 4, 2017

I am enjoying the series tremendously.

By Bernard D

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Nov 6, 2017

another great training from Andrew Ng!

By Yan L

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Oct 25, 2017

Very helpful for adjusting my network.

By Spandan M

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Sep 29, 2017

Great!! course . I highly recommend it

By Divakant P

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Sep 24, 2017

Great Course, Respect for Andrew Sir !

By John E B

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Sep 24, 2017

This was… fun, and really interesting!

By Debesh S

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Sep 14, 2017

Super. I am happy to take this course.

By Abbas H

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Jul 18, 2022

Greate Course. It's worth your time.

By Rasheed M N M

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May 30, 2022

it is great and needs a determination

By CS8B39 S P

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Apr 11, 2022

Explained everything quite intuitivly