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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: 58,890
Рецензии: 6,795

О курсе

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....

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.

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.

Фильтр по:

4276–4300 из 6,730 отзывов о курсе Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

автор: SHEETAL S

28 мая 2020 г.

anaother great course

автор: Prithvi A K

13 мая 2020 г.

Great second course!!

автор: Waqar A

7 мая 2020 г.

Great course contents

автор: Amr B

18 апр. 2020 г.

great course as usual

автор: Mehedi S

31 мар. 2020 г.

Beautifully organized

автор: PURUSHOTHAMANSRIKANTH R

30 мар. 2020 г.

Wonderful course!!!!!

автор: Snow H

23 мар. 2020 г.

Really helpful for me

автор: Prashant A

15 февр. 2020 г.

Very good instruction

автор: Rakesh D

15 янв. 2020 г.

Excellent as always..

автор: Hamza

23 дек. 2019 г.

Excellent experience.

автор: 朱泓润

3 дек. 2019 г.

Very good and useful!

автор: Sagar P

25 окт. 2019 г.

It was good learning.

автор: Siniša B

20 авг. 2019 г.

Thank you, Andrew Ng!

автор: Mohammed Y

17 авг. 2019 г.

As always... too good

автор: Leo C

3 авг. 2019 г.

Wish it were in java!

автор: Yasser B

3 авг. 2019 г.

concrete and straight

автор: Xuecong L

25 апр. 2019 г.

Learnt a lot, thanks!

автор: Luis G

26 сент. 2018 г.

Excellent, as always.

автор: M S

22 сент. 2018 г.

IT was a great course

автор: hiyouga

11 сент. 2018 г.

A very useful course!

автор: Anis M

9 сент. 2018 г.

the best course ever!

автор: David B

9 сент. 2018 г.

Continued brilliance.

автор: Tran T D

8 авг. 2018 г.

another great course!

автор: Laurenz R

3 июня 2018 г.

Very good explanation

автор: KIBO

25 мар. 2018 г.

very good ! Thank you