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Вернуться к Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Отзывы учащихся о курсе Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization от партнера deeplearning.ai

4.9
звезд
Оценки: 56,647
Рецензии: 6,498

О курсе

This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. After 3 weeks, you will: - Understand industry best-practices for building deep learning applications. - Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, - Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. - Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance - Be able to implement a neural network in TensorFlow. This is the second course of the Deep Learning Specialization....

Лучшие рецензии

XG
30 окт. 2017 г.

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.

NA
13 янв. 2020 г.

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

Фильтр по:

4226–4250 из 6,427 отзывов о курсе Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

автор: 郑非

3 окт. 2018 г.

Very Nice Course !

автор: Rohit S

1 июня 2018 г.

as always the best

автор: 徐海

26 апр. 2018 г.

介绍浅显易懂,弥补了初学者的经验不足

автор: 김원웅

21 апр. 2018 г.

God of all courses

автор: 夜雨飘零

14 апр. 2018 г.

感谢吴恩达老师,这个门课我受益匪浅。

автор: Sanjay K

26 янв. 2018 г.

Its Andrew Ng. wow

автор: Dongxu Y

11 янв. 2018 г.

thank you so much.

автор: Kai Z

26 дек. 2017 г.

Good demonstration

автор: César J N R

17 нояб. 2017 г.

Really nice course

автор: Joseph L

14 нояб. 2017 г.

Very useful course

автор: adi c b

4 нояб. 2017 г.

one word: Awesome!

автор: Shabbir T

9 окт. 2017 г.

Excellent Program!

автор: luolongzhi

5 окт. 2017 г.

课程实践性很强,由浅入深,主线很清晰

автор: 杜永生

30 авг. 2017 г.

非常好的教程,谢谢吴老师的精彩讲授!

автор: bexvan

30 авг. 2017 г.

i like this course

автор: Cindy C

21 авг. 2017 г.

very useful course

автор: Iván V P

16 авг. 2017 г.

just incredible :D

автор: Hien P

13 авг. 2017 г.

Execellent course!

автор: Noelia E

6 нояб. 2020 г.

Excelent course!!

автор: Julia L

26 окт. 2020 г.

Excellent course.

автор: AlexandrescuAndrei-Robert

13 сент. 2020 г.

Very informative.

автор: Mohammad F

10 сент. 2020 г.

excellent course!

автор: Stacy M

4 сент. 2020 г.

I like the course

автор: Vaibhav Y T

20 авг. 2020 г.

Excellent Course!

автор: K K B

5 авг. 2020 г.

Excellent course!