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

4.9
stars
63,068 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

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

NC

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Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

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5901 - 5925 of 7,238 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Hong W

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Sep 24, 2017

Sweet

By Edisson R

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Aug 24, 2017

12/10

By Mohanraj S 2

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Jun 30, 2024

good

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Sep 18, 2023

good

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Apr 7, 2022

Nice

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Mar 10, 2022

good

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Jan 11, 2022

Good

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Sep 5, 2021

good

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Aug 14, 2021

good

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Aug 7, 2021

good

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Jul 7, 2021

good

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Jun 28, 2021

good

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Apr 22, 2021

Nice

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Feb 18, 2021

good

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Dec 17, 2020

nice

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Dec 11, 2020

nice

By Gulnara A

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Oct 15, 2020

Best

By Atrayee C

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Sep 30, 2020

good

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Sep 29, 2020

good

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Sep 27, 2020

good

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Sep 19, 2020

good

By Nitesh N

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Sep 11, 2020

cool

By Sumera H

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Sep 1, 2020

good

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Aug 24, 2020

good

By Muhammad T S

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Aug 22, 2020

Nice