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

學生對 deeplearning.ai 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的評價和反饋

4.9
57,969 個評分
6,671 條評論

課程概述

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....

熱門審閱

XG
2017年10月30日

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

AM
2019年10月8日

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

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6301 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6325 個評論(共 6,594 個)

創建者 Kazuki H

2020年1月9日

I can understand concept of deep neural net!

創建者 Bernardt D

2018年6月26日

There were some typos throughout the course.

創建者 Michael N

2018年4月13日

Great but som explanations seems a bit wierd

創建者 Karl B

2018年10月28日

Tensor flow stuff could be better explained

創建者 Mecrux

2018年9月4日

Maybe should spend more time on tensorflow?

創建者 Arnav D

2018年5月21日

Best TensorFlow tutorial I have seen so far

創建者 Sandor T C

2018年1月29日

too much hand holding, no struggle to learn

創建者 John R G P

2020年8月19日

Its necessary to actualize to tensorflow 2

創建者 Paulo A V

2017年11月16日

Nice complement to the first course on ANN

創建者 Thibault C

2019年11月7日

more intuitive insights would be helpful

創建者 EURICO O D C D S C

2018年1月8日

Having tensorflow is great. It's a must.

創建者 taofeek o

2020年3月12日

A great course and it's well explained.

創建者 Dixing X

2017年10月16日

programming assignments are too easy XD

創建者 Yue X

2017年9月15日

Programming assignments are too simple.

創建者 Michael B

2017年12月19日

Could do with more tensorflow examples

創建者 Guy K

2017年9月22日

Well organized !! clear explanations !

創建者 Mayank J

2020年5月13日

I expected it to be in TensorFlow 2.0

創建者 jyning

2017年12月3日

感觉作业设计的很好,可以不需要太好的编程能力就能完成,还能加深多算法的理解

創建者 Yang C

2021年1月10日

tensor flow could be upgraded to 2.0

創建者 Merouane B

2020年6月16日

it was difficult somehow but awesome

創建者 Yogesh K

2020年5月28日

Update to TensorFlow 2.0 is required

創建者 Krupal b

2020年5月24日

Some model are not understood deeply

創建者 Gerald B

2018年2月14日

Consistently challenging. I love it!

創建者 Hans N

2020年4月4日

suggest to update to tensorflow 2.0

創建者 Nguyen B L

2019年11月19日

excellent & quite challenge course!