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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: 59,731
Рецензии: 6,910

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

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

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.

Фильтр по:

6826–6850 из 6,854 отзывов о курсе Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

автор: James H

18 нояб. 2018 г.

The whole tensor flow introduction is weak - it clearly requires further reading, which is fine but totally out of kilter with the videos so far, which have taken things from first principles very clearly.

автор: Martin B

16 нояб. 2017 г.

A technical problem with the grader caused my grade to be artificially lower on the last project. Although I was instructed to resubmit, the course ended with a lower grade than I should have received.

автор: Anne R

9 окт. 2019 г.

Not much implementation required of the students. More testing of the methods would be useful or if the concepts are the focus then this course should be merged into another course in the sequence.

автор: Brian M R

10 июня 2018 г.

The course material is good but Jupyter notebook interface does not work correctly. You will waste a lot of you precious time fiddling and redoing work that you lose when the notebook fails to save.

автор: Abhishek K

20 дек. 2019 г.

could be accomplished in a week. wastes time and doesnt go in sufficient depth.

After completion, you will get a 'taste' of optimization techniques, but it is not way comprehensive.

автор: Don F

1 февр. 2018 г.

The course was good but there were multiple mistakes in the final programming assignment. These mistakes were reported in the forums over 4 months ago and have not been addressed.

автор: Sam G

12 мар. 2020 г.

I find that the programming assignments have a LOT of copy pasta. Also, wasn't enthused to hear that we are using an out of data framework.

автор: Jaime T G

23 янв. 2019 г.

Very poor explanations, not correlated with the quitz and exercises. Missing more theoretical material in pdf with some more explanations.

автор: Harshit G

7 февр. 2020 г.

the instructor must give some more detailed explanation of the optimization techniques and hyperparameter tuning

автор: Deleted A

30 сент. 2017 г.

From my point of view this course deserves a bit more time. Too much material rushed through in too little time.

автор: Antoine J

11 апр. 2020 г.

Was way harder than the Course1 and Course2. Should be simplifier on topic la batch norm, expo. weighted avg..

автор: Nathen N

13 сент. 2020 г.

The notebooks of this class are terrible. They should receive more attention so you actually learn something.

автор: Sanford F

24 янв. 2019 г.

There are many errors in the course materials and no one seems willing to fix them.

автор: Jay L

26 мар. 2021 г.

When I submit the assignment, the output is the same, but there is no point for it

автор: Daniel T

22 сент. 2017 г.

The programming assignment for week 3 was full of bugs

автор: Shankar N

17 февр. 2019 г.

Could have been a 4 week course

автор: ENDER D I

22 авг. 2021 г.

last pa needs revision

автор: Rahul K

4 апр. 2020 г.

very basic course

автор: Alex M

12 июня 2020 г.

ala0z

автор: Anders B

23 мая 2021 г.

The course was updated half way through, we were automatically rolled on to the updated version and progress already made on the course was reset from under our feet. We had to retake previously completed and passed content, wasting much time. It also did not help that the website reported the course content we had to retake as complete in some areas of the site and not others.

автор: Rohan K

26 февр. 2020 г.

i am doing course in feb and i have been assigned sessions in april. Cant view even assignments or programming assignments before April. Totaly rubbish

автор: Paola d C

28 июля 2020 г.

The assignments do not reflect what the learning outcome of the material should be

автор: Sean L

9 сент. 2019 г.

Love the content but unable to reset course when deadlines pass is VERY ANNOYING.

автор: Shiv n V

29 июня 2020 г.

I have a problem in my assignment's submission.Please do rectify the error soon.

автор: Kunal R

1 июня 2021 г.

Not able to submit assignments, not able to unenroll, quite disappointing.