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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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3776 - 3800 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Yasar M

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Sep 19, 2019

Deep learning is lolly pop with Andrew Ng

By Jose F P P

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Jul 25, 2019

Excellent content with well explanations.

By mike v

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May 1, 2019

Excellent course. I am telling everybody.

By Veeresh I

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Apr 9, 2019

well explained and easily understandable.

By Neelkamal B

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Dec 9, 2018

Very good pace of learning for beginners.

By Jedrzej P

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Apr 29, 2018

Awesome!! Helps a lot in finding problems

By Alexander B

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Apr 24, 2018

Good intro to Tensorflow and optimization

By Santiago L d H

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Apr 24, 2018

I loved the last exercise with TensorFlow

By Raffaele T

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Mar 9, 2018

Very intersting: it's simple and complete

By 潘俊文

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Feb 26, 2018

Thanks! The best DL course for beginners!

By Sui X

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Feb 21, 2018

easy to understand and hace great useful

By Max P

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Jan 24, 2018

Great course, but exercises are too easy.

By Samujjwal G

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Dec 31, 2017

Enjoyed a lot completing the assignments.

By 李瑞平

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Dec 18, 2017

more deep program exercise will be better

By Juan P V H

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Nov 1, 2017

Excelent Course..!! Highly recommended..!

By Mangesh K

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Oct 27, 2017

The Tensorflow assignment was awesome !!!

By SATYAJIT P

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Sep 26, 2017

Important course in DEEP learning series.

By Songpeng Z

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Sep 10, 2017

Many great techniques in neutral network.

By Meysam M

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Aug 27, 2022

Awesome. Thanks for this helpful course.

By Md M H G

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Sep 15, 2021

Great course for CS background students.

By Vinayaka S

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Jun 24, 2021

Very in-depth teachings and informative.

By Ashwani g

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Apr 10, 2021

the best course to know basic to advance

By Rohan H J

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Mar 16, 2021

A very good course which helped me a lot

By Abhishek S

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Oct 19, 2020

Excellent course with a lot of insights.

By Jyotin P

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Jul 12, 2020

Concepts greatly explained, Thanks a lot