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

4.9
stars
63,238 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.

AB

Aug 26, 2021

Amazing course which focus on the theoretical part of parameters tuning, but it needs more explanation of Tensorflow, as I felt a little lost in the last project. Except that, it is an amazing course.

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4726 - 4750 of 7,260 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By A H

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May 1, 2020

Exceptional Course

By chakilam p k

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Apr 27, 2020

week 2 is soo good

By Prerak M

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Apr 20, 2020

outstanding course

By Jérémie D

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Apr 7, 2020

Great content, thx

By Gaurav S

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Apr 7, 2020

good for beginners

By Jack C

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Mar 17, 2020

Simply exceptional

By Chinmaya H

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Dec 8, 2019

Most interesting!!

By Menaka P A

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Nov 11, 2019

Very Tough content

By Jose P

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Sep 29, 2019

Very good overall.

By 陈宇轩

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Sep 22, 2019

really impressive!

By Deleted A

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Sep 19, 2019

Loved this course.

By Boris G A

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Aug 17, 2019

lee is the best :D

By Deepak S

•

Jul 11, 2019

great explanations

By नवल

•

Jul 1, 2019

Amazing experience

By Christopher T

•

Jun 1, 2019

Really enjoyed it!

By wolf

•

May 21, 2019

great and detialed

By Jiayuan D

•

May 8, 2019

strongly recommend

By phoenix c

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Mar 20, 2019

excellent course !

By 나종호

•

Mar 4, 2019

thank you so much.

By Khongorzul G

•

Feb 17, 2019

one word: amazing!

By Raymond T Q T

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Jan 31, 2019

very good lectures

By Deepa K

•

Jan 27, 2019

Highly recommended

By Chen N

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Jan 17, 2019

Awesome as always.

By John l

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Jan 16, 2019

good course indeed

By Frédéric M

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Nov 13, 2018

Really good course