Chevron Left
返回到 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
星
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：

4051 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4075 个评论（共 7,283 个）

创建者 Hongjian H

•

Dec 24, 2017

Very useful and excellent lectures!

创建者 Radhakrishna J

•

Dec 16, 2017

Best course to start Deep Learning.

创建者 David H C

•

Nov 22, 2017

Amazing Tips, Andrew Ng is the best

创建者 William M

•

Sep 30, 2017

Great followup to the first course!

创建者 Deleted A

•

Sep 22, 2017

Extremely useful, also challenging.

创建者 Martin J

•

Sep 6, 2017

Great coverage of parameter tuning.

创建者 Tom M

•

Aug 24, 2017

Solid material for Deep Neural Nets

创建者 Kaung H H

•

May 22, 2022

Easy, Understandable explanations.

创建者 Shreya S

•

Sep 14, 2021

Amazing Content ! Very Insightful!

创建者 Xixi Y

•

Oct 28, 2020

excellent material and organiztion

创建者 MoChuxian

•

Sep 24, 2020

very nice course, thanks very much

创建者 Ananya P

•

Aug 31, 2020

great course!!! Thoroughly enjoyed

创建者 Pranav M

•

Jul 22, 2020

Best Course of the Specialization!

创建者 Sreetama S

•

Jun 6, 2020

Very helpful course. Thanks a lot!

创建者 SANTAHANAMARI

•

May 15, 2020

Very Clear presentation. Excellent

创建者 Lester P

•

Apr 19, 2020

Quedo muy satisfecho con el curso.

创建者 Lam L

•

Apr 17, 2020

Very detail and easy to understand

创建者 Suraj V

•

Feb 28, 2020

Very good course for deep learning

创建者 Govind M

•

Feb 11, 2020

lots of learning with key concepts

创建者 Ulas M C

•

Dec 11, 2019

Easy to follow, great assignments.

创建者 홍진우

•

Dec 1, 2019

좋았습니다. 많은 내용을 실무에 적용할 수 있을 것 같습니다!

创建者 Jannah P

•

Oct 27, 2019

just as great as the first course!

创建者 Gustavo R L

•

Sep 21, 2019

Very good explanation about tuning

创建者 salim m

•

Jul 19, 2019

Excellent, i like the assignments.

创建者 王明

•

Jun 15, 2019

课程指导非常详细，尤其配合编程作业，原理与实践结合，非常透彻，喜欢！