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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

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

筛选依据：

4026 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4050 个评论（共 7,283 个）

创建者 Smail K

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May 15, 2020

The content is an absolute delight!

创建者 Thar H S

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Apr 23, 2020

the simplest course I had ever seen

创建者 Ben H

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Mar 15, 2020

Very helpful and informative course

创建者 Masoomeh G

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Jan 12, 2020

Very useful and interesting course.

创建者 Joohong K

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Dec 16, 2019

Not I feel like I am doing some AI.

创建者 Haoming Y

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Oct 25, 2019

Cousera 上最好的课程设计！每次上课都是享受，每次做作业都是激动

创建者 behnoud s

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Oct 9, 2019

thanks for andrew and his co_worker

创建者 sujitha k

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Aug 9, 2019

Made NN really easy to understand !

创建者 Li Y

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Aug 4, 2019

This course is very helpful for me.

创建者 Johan R

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Jun 22, 2019

Just right level and very enjoyable

创建者 Dmitry M

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Apr 9, 2019

Excellent and understandable course

创建者 Sidhant P

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Mar 7, 2019

It was a great learning experience.

创建者 YS S

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Feb 26, 2019

Thank you for this wonderful course

创建者 Hussam K

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Feb 19, 2019

Amazing course with perfect teacher

创建者 Thanh N

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Oct 9, 2018

good. but i need more tensorflow :D

创建者 XUXIONGXIAO

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Sep 22, 2018

Great course! Thank you! Andrew Ng!

创建者 Mohsen K

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Sep 5, 2018

Great course with excellent content

创建者 C9R

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Aug 19, 2018

给出调参的一些经验性指导，并且课程内容非常的直观形象，有助于加深理解。

创建者 Bluove

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Jul 10, 2018

非常好的课程，使得我能在最短的时间内得到关于机器学习最正确最多的认识。

创建者 VEMULAMANDA S K P V

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May 23, 2018

Concepts are explained very well :)

创建者 Mohit A

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Apr 2, 2018

One of the best courses I ever had.

创建者 Athul R

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Mar 15, 2018

Make the assignments more rigourous

创建者 keerthivasan A

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Feb 20, 2018

Nice course to understand NN model.

创建者 Stephen W

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Feb 10, 2018

awesome course, highly recommended.

创建者 Imran Y

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Feb 4, 2018

Extremely useful practical advices.