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

4.9
stars
63,243 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

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

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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5426 - 5450 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Gülşah K

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Sep 20, 2024

wonderfull

By 1437_ANKIT T

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Sep 13, 2023

Excellent!

By BISHWANATH J

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Sep 5, 2023

Over Power

By Xiaolin W

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Mar 23, 2023

Thank you!

By 赵毅

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Dec 3, 2022

Thank you!

By Akomévègni S

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Aug 2, 2022

Excellent

By 최정식

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May 15, 2022

Thank you.

By 薛舒心

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May 1, 2022

Thank you!

By 徐洁

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May 1, 2022

Thank you!

By liubingxin

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Apr 16, 2022

very well！

By Zelin W

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Jan 20, 2022

Thank you!

By Qi S

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Jan 19, 2022

Thank you!

By Chen

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Jan 8, 2022

Thank you!

By Xin Y

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Jan 1, 2022

Thank you!

By Shaofei Q

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Nov 29, 2021

Thank you!

By Yi C

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Oct 23, 2021

Thank you!

By Quan Y

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Oct 21, 2021

Thank you!

By Krzysztof R

•

Jul 10, 2021

Excellent!

By Roberto C L

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Jun 29, 2021

Fantástico

By Karl G

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Mar 1, 2021

Excellent!

By Oscar M

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Jan 9, 2021

Excelente!

By Felipe M

•

Nov 29, 2020

Very Nice!

By Deepak C

•

Nov 11, 2020

A good one

By azhar s

•

Nov 7, 2020

fell happy

By Hamidreza G

•

Aug 13, 2020

so great:)