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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,482 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

NC

Jun 3, 2018

Just as great as the previous course. I feel like I have a much better chance at figuring out what to do to improve the performance of a neural network and TensorFlow makes much more sense to me now.

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5526 - 5550 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Daniel V

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Nov 14, 2017

awesome!!!

By free_siemens

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Oct 27, 2017

impressive

By Jiameng P

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Oct 20, 2017

谤别肠辞尘尘别苍诲！

By Panos B

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Oct 19, 2017

Fantastic!

By ricky a

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Oct 18, 2017

Just great

By Rui M

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Oct 10, 2017

Insightful

By Fabrício M B

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Oct 9, 2017

Excellent.

By Deleted A

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Oct 7, 2017

Love it!!!

By ryan

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Sep 25, 2017

Awesome!!!

By 黄顺亮

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Sep 24, 2017

very good!

By Shikun C

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Sep 20, 2017

brilliant!

By Tibor Z

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Sep 20, 2017

excellent!

By 姚佳奇

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Sep 15, 2017

Very good!

By fgcook

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Sep 1, 2017

理解更深了一层，很好

By Richard S

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Aug 24, 2017

Excellent!

By Wei W

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Aug 23, 2017

very good.

By Hoa N

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Aug 23, 2017

Thank you!

By Umar R

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Nov 3, 2024

Very good

By Hossein A

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Jan 27, 2024

wonderful

By rubin w

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Aug 26, 2023

very good

By Michael R

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Aug 8, 2023

excellent

By Shreejan S

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Jun 23, 2022

The best.

By abdelwahhab k

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Jun 10, 2022

WONDERFUL

By nguy?n v l

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Apr 15, 2022

very good

By Nam N H

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Jan 21, 2022

Very good