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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
54,263 個評分
6,194 條評論

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

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.

NA

Jan 14, 2020

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.

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5626 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的 5650 個評論(共 6,120 個)

創建者 Chowdepalli R R

Jul 20, 2020

tensor flow is not understood properly else the course is very good and clean to understand

創建者 杨之龙

Apr 05, 2018

I have to complain why dont accompany videos with quiz and notes just like the ML coursera.

創建者 Hyatt B

Jan 09, 2018

Content great! I'm not convinced Jupyter notebooks are the best approach for this material.

創建者 Yen S L

Aug 31, 2018

Good explanations. But tutorials can be improved to demonstrate the various tuning effects

創建者 Surya J

Apr 23, 2019

Great course to build intuition about tuning NN. Solid Foundation in very short duration.

創建者 kritika

Mar 25, 2019

There was a lot of hand holding in programming assignments. It needs to be more rigorous.

創建者 Vasilis S

Sep 26, 2018

Very informative course. The assignments are too trivial. Could've been more challenging.

創建者 David D

Oct 07, 2017

Last programming assignments had some errors in them that could've easily been corrected.

創建者 Bhargava P

May 21, 2020

Great content. Filled with rich techniques to improve models, hyperparameter tuning etc.

創建者 Václav R

Feb 14, 2019

Could have focused a bit more on the tensorflow. Other than that - Great course, thanks!

創建者 Rajiv C

Aug 25, 2017

It was fun to get to know other optimization techniques and how to speed up the network.

創建者 Prajwal M H (

Apr 21, 2020

The difficulty of the course is medium. More time should be spent by learners for this

創建者 Andrew W

Jul 30, 2019

Felt fast faced. But a good introduction to neural network hyperparameter optimization.

創建者 GAURAV B

Nov 14, 2018

Course was really good, but I feel in tenserflow regularization should also be covered.

創建者 Ahmed A

Oct 28, 2018

The course was very informative but the tensorflow notebook was buggy and needs fixing.

創建者 Arjan G

Dec 07, 2017

Good course, but still has some minor issues in the assignments that needs to be fixed.

創建者 Oleksandr T

Jul 29, 2019

Last code assignment is a mess. Looks like organizers have no intention to fix errors.

創建者 Cindy Q

Apr 01, 2018

Week 3 feels a little rushed. The tensorflow material can be explained more in detail.

創建者 Nicola P

Nov 11, 2017

Lessons are very clear and insightful. I would have expected more complex assignments.

創建者 sree v

Sep 05, 2017

TensorFlow assignment is not good. There are many issues in submitting the assignment.

創建者 Mohammad M H

Jul 31, 2020

most of the topics and assignments are great! but few parts of them are a bit boring!

創建者 Mayur S

May 09, 2020

Some more programming exercise with an combination of all the weeks would have helped

創建者 Simona T

Mar 09, 2020

The assignements are very instructive and useful, but they could be more challenging.

創建者 Gaojing W

Aug 28, 2017

Content is comprehensive but lack of an detailed assignment of tuning hyperparameter.

創建者 Vincent R

Jun 11, 2020

Great overview. The only critique is that the practice problems are a bit spoon-fed.