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返回到 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈

4.9
63,492 个评分

课程概述

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....

热门审阅

NC

Aug 18, 2017

Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

AS

Apr 18, 2020

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

筛选依据:

6676 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6700 个评论(共 7,283 个)

创建者 David D

Oct 7, 2017

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

创建者 Pradeep S

Aug 6, 2023

Great course to get the basics of neural networks and deep learning as solid foundation.

创建者 Bhargav R

May 21, 2020

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

创建者 Václav R

Feb 14, 2019

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

创建者 Rajiv C

Aug 24, 2017

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

创建者 Prajwal M H (

Apr 21, 2020

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

创建者 Andrew W

Jul 29, 2019

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

创建者 Gaurav B

Nov 13, 2018

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

创建者 Ahmed A

Oct 28, 2018

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

创建者 Arjan G

Dec 7, 2017

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

创建者 Nils-Jörn

Dec 3, 2020

Don't like the Jupyter environment - i loved the Octave used in the basic ML Course...

创建者 Oleksandr T

Jul 28, 2019

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

创建者 Cindy Q

Apr 1, 2018

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

创建者 Nicola P

Nov 11, 2017

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

创建者 sree v

Sep 5, 2017

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

创建者 Mohammad M H

Jul 31, 2020

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

创建者 Mayur S

May 9, 2020

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

创建者 Simona T

Mar 8, 2020

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

创建者 Gaojing W

Aug 28, 2017

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

创建者 Saad B

Mar 12, 2025

Good course! Required good intuition and understanding the math behind the scenes :D

创建者 Vincent R

Jun 11, 2020

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

创建者 Utpal D

May 9, 2020

learn a lot about how to fine tune hyperparameter & other regularization techniques.

创建者 Deleted A

Apr 17, 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

创建者 Yesid A C M

Oct 27, 2019

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

创建者 Asutosh S

Jun 12, 2018

Assignments are too easy. They wouldn't even require one to watch the course videos.