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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: 56,827
Рецензии: 6,521

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

CV
23 дек. 2017 г.

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.

AS
18 апр. 2020 г.

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

Фильтр по:

4276–4300 из 6,443 отзывов о курсе Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

автор: null

11 окт. 2019 г.

非常好,提供了很多超参调节实践经验

автор: Raunak S

23 авг. 2019 г.

as always as best

автор: Abhinand

13 июня 2019 г.

Brilliant course.

автор: Ashish J

11 июня 2019 г.

Great Assignments

автор: supertian

3 июня 2019 г.

It's very useful.

автор: Yongjian F

25 мая 2019 г.

Very interesting.

автор: Manish K

25 мая 2019 г.

very good content

автор: zhou

31 мар. 2019 г.

非常详细,讲的特别好,还有实验课程

автор: James C

22 февр. 2019 г.

Very good course.

автор: JINWOO S

19 февр. 2019 г.

best course ever!

автор: AASHISH B

14 февр. 2019 г.

Awesome course :)

автор: HARENDRA S

3 янв. 2019 г.

Very good course.

автор: Eoghan T

1 янв. 2019 г.

Thanks, Prof. Ng!

автор: 朱荣鑫

22 дек. 2018 г.

As good as before

автор: Mohammed A B

15 дек. 2018 г.

awesome content !

автор: Motilal R S

3 дек. 2018 г.

Excellent Course!

автор: Stefan K

23 нояб. 2018 г.

Very good course!

автор: 苏庆祝

22 нояб. 2018 г.

very nice course.

автор: Bhaskar D

20 нояб. 2018 г.

Excellent course!

автор: Jabberwoo

14 нояб. 2018 г.

Love this course!

автор: Bogdan S

4 нояб. 2018 г.

Excellent course!

автор: Zhidan W

17 окт. 2018 г.

Extremely helpful

автор: Jakub V

9 сент. 2018 г.

Depth and clarity

автор: Timur B

1 сент. 2018 г.

Excellent course!

автор: Vinay A

27 авг. 2018 г.

Fantastic Course.