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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

4.9
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

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

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

筛选依据:

2426 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2450 个评论(共 7,283 个)

创建者 Michael B

Sep 18, 2017

Second great course in this specialization. Especially the exercises are top notch!

创建者 Michael V

Aug 21, 2017

great teacher.

very logical and methodical

good complement to Andrew's other course

创建者 metin e

Dec 19, 2024

It is a well-organized course. Thanks to everyone who contributed to preparing it.

创建者 Jordan M

Jun 18, 2022

Great course that really distills the math so that it's much easier to understand.

创建者 Mahdi J

Nov 12, 2020

I really like how Andrew Ng explains the problem and the course. One of the bests!

创建者 Mayank S

Oct 23, 2020

Great Course. Got to know subtle thongs in deep learning which other courses miss.

创建者 Sundeep P

May 23, 2020

Very good introductory course. As usual Prof NG explains the concepts very lucidly

创建者 pandy y

May 11, 2020

Excellent course! I finally understood normalization and regularization in deep NN

创建者 yash v

Apr 24, 2020

Very helpful course in advancing ahead in Neural Network and clear cut explanation

创建者 Vishal S

Jul 31, 2019

The best course you will ever find for optimization and regularization techniques.

创建者 SHUBHAM K

Jul 24, 2019

Course is really helpful. I will definitely recommend my friends to go through it.

创建者 Zhao C

Mar 15, 2019

Love the programming assignments and the autograder! The feedback is super useful!

创建者 Armen D

Dec 19, 2018

This course fills many important gaps from the first course in the specialization.

创建者 Ankit C

Nov 4, 2018

Great course to learning about optimizing techniques for deep learning algorithms!

创建者 Vipin K D

Sep 27, 2018

Really wonderful course on Hyperparameter tuning, Regularization and Optimization.

创建者 Yuqing C

Aug 4, 2018

This course provided very practical skills in training deep network which is great

创建者 Ahmed G

May 11, 2018

In my opinion this course is the most important course in the whole specialization

创建者 Dongliang Z

Apr 21, 2018

It is worth watching again and again. So many good illustrations in deep learning.

创建者 周文强

Mar 19, 2018

very useful ,i can use the skills in practice.make me understand the theory deeply

创建者 Martin T

Jan 9, 2018

A very well curse, For me the information of batch normalization is very important

创建者 Ricardo B P

Dec 19, 2017

Very useful insights on hyperparameter tuning and great introduction to Tensorflow

创建者 E P

Sep 21, 2017

Another excellent course.. learned what hyper parameters were as well as epochs..!

创建者 Raul T

Sep 16, 2017

It was great to have Batchnormalization and Adam optimization explained in detail.

创建者 Fengxin Y

Sep 3, 2017

learn how to tune the whole model and start to learn tensorflow! five star coures!

创建者 Gonzalo A M

Aug 22, 2017

Great Course. I learn a lot and it has been a great investment this specialization