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

4.9
stars
63,515 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

AS

Apr 19, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

AA

Oct 23, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

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3226 - 3250 of 7,288 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Alexandre L

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Apr 28, 2018

great course, keen on learning more with the next module!

By brook a

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Apr 6, 2018

just astonishingly brilliant course by andrew ng and crew

By 陈沁然

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Mar 11, 2018

lesson is quite good, but sometimes the voice is too low.

By Pavel K

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Mar 3, 2018

As useful as the previous "Course 1". Strongly recommend!

By Abdallah M

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Jan 4, 2018

Amazing course and an amazing instructor. I learned a lot

By Shiloh T S

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Dec 4, 2017

Great dive into the art/science of hyperparameter tuning.

By Yang X

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Nov 27, 2017

Thank you Andrew! you make me love deep learning so much!

By Gultekin B (

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Nov 3, 2017

Well-prepared assignments, excellent! Thanks a lot again

By James T S

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Oct 20, 2017

Superb course that includes valuable practical knowledge.

By Chris F

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Sep 18, 2017

Everything comes together in the programming assignments!

By Sun J

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Aug 24, 2017

Very good coverage on the deeplearning technical details.

By Joseph M

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Aug 24, 2017

A brief introduction to Tensorflow is included at the end

By Umer S

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Aug 6, 2024

Great content , great community of learners and helpers!

By Srinivas C

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Jul 10, 2022

Gives clear understanding of regularization techniques.

By Yağız S

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Apr 16, 2021

That's really awesome course, I'd recommend it everyone.

By Furong S

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Jan 17, 2021

Great course. There are some grading errors to be fixed.

By farzad

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Dec 12, 2020

Easy to follow and a lot of valuable information. Thanks

By Akshaykumar S

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Jul 11, 2020

Great topic coverage and exercises. Loved every aspect !

By Sanjeev K Y

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Jun 29, 2020

Specialization is an absolute delight for Deep Learning.

By VIJAYARAGHAVAN V

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Jun 5, 2020

Excellent course, Wonderful experience to learn new DNN.

By Arvind K V

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May 13, 2020

I really understand the nuts and bolts of neural network

By Nguyen T H

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Apr 25, 2020

Great lessons and explain basic knowledge of ML. Thanks.

By Bhanuprakash B

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Mar 25, 2020

Best course to get clear with concepts of Deep Learning.

By dennis w

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Jan 8, 2020

Andrew Ng is the best!!! He makes everything so clear.

By Hisham R

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Nov 30, 2019

Excellent Course. Covered and explained topics very well