Chevron Left
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
40,056 個評分
4,261 個審閱

課程概述

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....

熱門審閱

AM

Oct 09, 2019

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

CV

Dec 24, 2017

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.

篩選依據:

4076 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的 4100 個評論(共 4,191 個)

創建者 Aditya S

Oct 05, 2019

Good course. However expected some more mathematical proofs for some of the ideas like bias correction and exponential weighted averages.

創建者 Christopher S

Oct 25, 2019

Good intro to the available tools. Very guided course. For concepts to really stick, own projects or courses needed.

創建者 VIGNESHKUMAR R

Oct 23, 2019

Good but need to improve number of examples about tensorflow

創建者 André M

Oct 24, 2019

4* only because the TensorFlow lectures and assignment were too much in too little time. Also from what I see, TF has massively changed syntax to 2.0 so it felt a bit pointless to learn TF1 syntax (which is ***horrible***) at this point. To me it detracted a lot from the learning experience.

The remaining lectures and modules were excellent as usual though. I'd still recommend this highly, and Andrew's insights into what tends to work and why are brilliant as always.

創建者 Ashraf A

Oct 26, 2019

Very good course and a good introduction to the tensorflow

創建者 qiaohong

Oct 28, 2019

作业过于简单

創建者 yesid a c m

Oct 28, 2019

hay funciones de tensorflow que ser[ia adecuado que las explicaran en los notebooks.

創建者 Sajal J

Oct 28, 2019

Very good course.highly recommended

創建者 Nataliia K

Oct 28, 2019

Quite ok, but programming assignment was mostly copy-paste style. I am not able to repeat something similar independently after the course

創建者 Andrew L P

Oct 29, 2019

Wonderful course, would have liked another assignment working with TensorFlow.

創建者 Nono

Oct 31, 2019

Thank you,Andrew

創建者 Alexander K

Oct 12, 2019

Too less coding and practice exercises, thou the theory is great

創建者 Joao N

Nov 05, 2019

One again the course is a great follow up from the previous one. The only little detail I wish had been done was for the assignment to cover a scenario where we had to improve some hyperparameters by applying different approaches covered in class.

創建者 Mihaly K

Nov 06, 2019

Assignments sometimes too easy, minimal input needed.

創建者 Ramesh K

Nov 04, 2019

I have taken Machine Learning courses earlier from Andrew Ng via Coursera. I have always felt that the delivery of the material and the pedagogy are superb and have always rated a 5 star as also for the first course in this specialization. This second course had several interesting topics I had never learned in my previous NN courses at universities. The programming exercises for weeks 1 and 2 were excellent in helping recap the material in the videos and slides. However as far as TensorFlow is concerned, I was a bit disappointed because it seemed like we were muddling through the various code snippets rather than getting a firm grasp of what is obviously a very complex Deep Learning programming framework. But I understand the time limitations and I realize that this intro to TensorFlow is merely to whet one's appetite and encourage us to explore more about this framework as well as other frameworks. I believe it is up to each individual to explore the concepts further and get a better understanding.

The technology behind the courses is awesome as well as the programming assignment notebooks which were well documented and must have taken gargantuan amount of time and effort in prepping.

In summary, I learned a lot from this course and while my course objectives were not fulfilled, almost all of them were.

創建者 Gilad F

Nov 03, 2019

I'd make the tesnsorflow section a separate week with much more elaboration, the first time (in both course 1 and course 2) I felt a subject was lacking information. It's mostly noticeable in the programming assignment.

創建者 Fabio S

Nov 04, 2019

Suggestion of references, as a complement, would be very interesting.

創建者 Michael R

Nov 02, 2019

Tensor flow should be explained in more detail

創建者 Marcos C D

Nov 03, 2019

Content needs update to leverage the state of the art in the subject.

創建者 Thibault C

Nov 07, 2019

more intuitive insights would be helpful

創建者 Charles H

Nov 08, 2019

The lectures are all really good, but the programming assignments feel like they hold your hand too much. It's very easy to sort of slide through them without having a good understanding of the material.

創建者 Teddy G

Nov 17, 2019

I think the last subject, the "gradient checking" looks a bit not connected to the begining of the week 2 course, it may be only me, so I will go over it again and try to understand its relevancy to the rest of week 2.

Teddy

創建者 Joshua S

Nov 13, 2019

A good course that provided more intuition on which models to work with and how to tune parameters effectively.

創建者 srinivasa a

Jan 09, 2019

its great foundational course but i feel with frameworks available the math behind it was little boring.Andrew NG is pretty good with explaining it well but sometimes felt it was too trivial

創建者 Tan K L

Jan 26, 2019

I think more should be done regarding the TensorFlow framework with more explanations given to what the functions did