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

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63,493 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

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

AM

Oct 8, 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

筛选依据：

2401 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2425 个评论（共 7,283 个）

创建者 Dana A

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Feb 2, 2019

The lectures are awesome, bu think the exercise need some more polish and more depth

创建者 Rahul D

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Oct 27, 2018

this course gives a good knowledge about hyperparameters and tenserflow. I like it.

创建者 Rebecca M

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Jul 5, 2018

Wish class had textbook instead of videos. Would like to keep documentation on this.

创建者 Pranav

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Jun 14, 2018

Learned a lot of thing on neural net in this course.Excellent teaching by Andrew Ng.

创建者 Vincent H

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Jun 10, 2018

We better understand what is behind tensorflow after following this lesson.Thank you

创建者 DaesooLee

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Jun 7, 2018

I'm truly saying that this professor has an amazingly soft/pleasant way of teaching.

创建者 Vladimir

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Dec 9, 2017

Brilliant course to understand Neural Networks with great practical focus!

Thank you!

创建者 Jorge B C

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Nov 26, 2017

Very useful guidelines to achieve successful results developing Deep Neural Networks

创建者 Wenjie L

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Nov 21, 2017

Great course! It helped me a lot about the parameter settings to train the networks.

创建者 Sergey D

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Sep 9, 2017

Детально разбирается материал. Очень полезная информация к дополнению первого курса.

创建者 Vladimir I

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Sep 4, 2017

The information for a practitioner that Dr. Ng provides in this course is priceless.

创建者 Chandrima C

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Aug 28, 2021

In detail explanations of every small and big concept by Prof. Andrew is the best!!

创建者 Chandramouli S

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Sep 9, 2020

Programming assignments were too good. Very informative. Clearly explained concepts

创建者 Jaswanth N

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May 14, 2020

Very Good course. It provides deeper knowledge on fine tuning the hyper parameters.

创建者 Nipun S

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Apr 3, 2020

Wow this is a amazing course series. Looking forward to complete next three as well

创建者 James R

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Jan 18, 2020

Well structured. Covers key concepts well. Overall, Great course! Well Done Andrew!

创建者 arun

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Dec 3, 2019

Thank you Andrew NG, I felt a research type of energy after completing this course.

创建者 Muhammad S A G M A

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Nov 19, 2019

Sir. Andrew Ng simplifies difficult topics and help you understand them. Thank you.

创建者 Basel M

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Mar 31, 2019

Thank you Coursera I am thankful to you Andrew and all team members of this course.

创建者 Ethan J

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Dec 27, 2018

very helpful course. Hope there could be more exercises on tuning hyper parameters.

创建者 Michael K

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Feb 12, 2018

Great course . I like learning how to using the deeplearning frame work at the end!

创建者 Sotnikov G

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Nov 24, 2017

Very important course to make knowledge from the first course much deeper! Awesome!

创建者 Rick Y

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Nov 15, 2017

Great course! Really helps to further deepen your understanding of neural networks.

创建者 Hector W

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Oct 16, 2017

Provides a very interesting set of techniques to accelerate learning on a Deep Net.