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学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈

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63,493 个评分

课程概述

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....

热门审阅

AA

Oct 22, 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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

筛选依据：

3501 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3525 个评论（共 7,283 个）

创建者 Jamil H

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Jul 11, 2019

A very good course with implementation techniques

创建者 Hao L

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Jun 8, 2019

Really helpful! Keep on with the next course now!

创建者 Terry P

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Jan 24, 2019

Very good course and well timed with great ideas.

创建者 Prishita R

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Dec 29, 2018

Great in depth Explanations and very Informative!

创建者 Ihor K

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Oct 27, 2018

Thank you for opportunity to become closer to AI!

创建者 chirspolo

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Aug 31, 2018

非常感谢cousera这个平台，提供详细的课程同时又能够让我在编程测试题中更好地掌握知识，非常感谢

创建者 Jair G

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Aug 15, 2018

Top level material. Very useful to run a project.

创建者 Ananta A

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Aug 13, 2018

Thankyou for making me learn the basics so nicely

创建者 Khoa N

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Jul 18, 2018

Thank you so much, Andrew. This course is so good

创建者 CMC

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May 28, 2018

Clearest explanation of optimization I have seen.

创建者 Matthew A

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Feb 19, 2018

Amazingly intuitive examples of complex concepts.

创建者 Bonnie M M B

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Feb 18, 2018

Love the explanations and programing assessments.

创建者 WEIJIAN K

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Nov 22, 2017

There are many deep learning optimization methods

创建者 preethi v

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Nov 19, 2017

very useful course for tuning the neural network.

创建者 Kalle H

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Nov 9, 2017

Great course with clear well structured lectures.

创建者 Jamie A M

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Nov 5, 2017

By far one of the best uptodate courses about DL.

创建者 Rishubh P

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Nov 2, 2017

Awesome experience, learnt a lot from this course

创建者 Lucas Y

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Oct 29, 2017

A thorough course that progressed at an easy pace

创建者 Nikola M

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Oct 22, 2017

great course. Hope to see more of your good work.

创建者 刘宇轩

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Oct 19, 2017

Not difficult to follow, while much to gain from.

创建者 PRASHANT K R

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Oct 12, 2017

Nothing could better than this...love this course

创建者 Johnson N

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Oct 11, 2017

wrong review oops. havent finished this class yet

创建者 sdogijoijweofij

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Mar 18, 2024

it's a course to take many informational things.

创建者 Xu Z

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Nov 5, 2021

Deep into the Neural Networks with Professor Ng!

创建者 Mantas B

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Dec 30, 2020

Very straight forward and understanding course!