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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

4.9
63,489 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

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.

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:

1676 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1700 个评论(共 7,283 个)

创建者 Warley V

Jun 16, 2020

Great course! The intuitions, the first principles approach, the guided practice... A valuable way to learn indeed.

创建者 Debadri B

Jun 8, 2020

Awesome course and excellent explanation of concepts. Another awesome course with best contents from Andrew NG Sir.

创建者 Andrés O A

May 30, 2020

Andrew is great teaching and passing his ideas, the programming assignments are very useful.

Thanks for everything!!

创建者 Harvey B C

Feb 9, 2020

One of the most helpful courses in the specialization, Gives you lots of good knowledge for training better models.

创建者 徐瑞宗

Sep 27, 2019

Amazing deep learning course which gives me so much inspiration about AI.Highly recommend to join it, will move on.

创建者 Mohamed E

Aug 13, 2019

Powerful content in easy way and excellent assignments to make the knowledge more accurate and related to the work.

创建者 Ali A

Mar 25, 2019

This course of Professor Andrew Ng is as excellent as all the others of him. When I think about AI, he is the best.

创建者 Deleted A

Dec 18, 2018

Andrew makes a mysterious subject so transparent. It is so calming to listen to his voice and understand the magic.

创建者 Akash G

Aug 11, 2018

Very clear explanation of all related concepts along with Introduction to tensorflow framework. Very useful course.

创建者 Gökhan

Dec 2, 2017

Very good course with a very good teacher. Understanding the mechanics behind all of this is very important for me.

创建者 Christian B

Sep 24, 2017

This course presented some valuable improvement techniques for neural networks in a compact, understandable manner.

创建者 Zhiyang W

Aug 21, 2017

Very amazing machine learning course, focusing on the very important and useful skills in training neural networks.

创建者 Gopal R

Aug 16, 2022

Really thankful for this well structured course with full of practical and insutry insights from Andrew and team.

创建者 Mohamed A

May 15, 2022

Thank you for this well-structured course. I have only one suggestion which is to increase the number of exercises

创建者 shubham k

May 23, 2020

This is an awesome course than the first one. Thank you Andrew Ng for giving such wonderful content. Thanks a lot.

创建者 aditya d

May 17, 2020

The course was very good and fully covered all the concepts and also had assignments for practice of the concepts.

创建者 Lovepreet S

Apr 19, 2020

It was a very good experience to learn about Tensorflow and Tuning Hyperparameters and Using Deep Nets effectively

创建者 MADISHETTI S

Apr 17, 2020

Balanced material having math and programming parts equally weighted. Enjoyed the lectures through the course work

创建者 aditya m

Mar 7, 2020

Very helpful as it gives insights to many things that could not have been possible to gain by just reading a book.

创建者 Isaac T

Oct 6, 2019

Excellent module for understanding the mechanism and insights on tuning hyper-parameters for Deep Neural Networks.

创建者 Петро Г

Sep 16, 2019

I really enjoyed this course. There are a lot of great ideas to improve your learning system! Thanks Andrew a lot!

创建者 J L

Jul 8, 2018

The comments expected results in the last assignment needs update. The errata has all of them though.Thanks a lot.

创建者 mohamed h

Feb 8, 2018

Very good content and explanation. however, I think the programming assignment need to be more challenging. Thanks

创建者 艾宏

Sep 24, 2017

It's so good for me to go deep into Deep Learning theory and practise. Andrew and his teammate work hard on this.

创建者 Xiangyu G

Sep 3, 2017

Great Course! Andrew always knows what to focus and every word from him is meaningful, I've learned a lot, Thanks!