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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：

3451 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3475 个评论（共 7,283 个）

创建者 TC

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Jun 27, 2020

Very thoroughly researched and informative course.

创建者 Saurav S

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May 25, 2020

one of the best machine learning courses out there

创建者 Gustavo R T

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May 16, 2020

Excellent material, well organized, great teacher!

创建者 Mohammed Z M

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Apr 15, 2020

great course wrt deep learning and bright content.

创建者 王浩

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Mar 1, 2020

Thanks for devoting such a precious course online!

创建者 Abdelrahman M

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Feb 23, 2020

Very useful course cannot wait to take the 3rd one

创建者 Agniteja r

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Oct 2, 2019

Covers optimization algorithms which are new to me

创建者 ipsita s

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Sep 29, 2019

Very informative course Kudos to deep learning AI.

创建者 Aniket N M

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Aug 2, 2019

Awesome course. Learnt what is taught nowhere else

创建者 Nilesh M

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Jun 21, 2019

Excellent course and very well explained by Andrew

创建者 Aditya V S

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Jun 18, 2019

This course has got more content than I asked for.

创建者 Yonathan C

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Jun 10, 2019

i am so happy and grateful for taking this course.

创建者 ujjawal g

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Jun 8, 2019

amazing course, great explanation of all concepts.

创建者 WU H

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May 20, 2019

If we can download the dataset, it will be better~

创建者 Ravi S

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Apr 8, 2019

Provided a lot of intuitions and practical advice.

创建者 Bin P

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Apr 4, 2019

Mathematical explanation of optimization concepts.

创建者 Changik C

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Mar 19, 2019

Just like all other Professor Andrew's class, best

创建者 Jimut B P

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Feb 28, 2019

Just awesome course! Never learned so well before.

创建者 Yash G

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Nov 29, 2018

Amazing course gives useful insights for training!

创建者 Mohd. F I S

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Nov 15, 2018

Great professor Andrew is simply awesome as always

创建者 Nagadeepa S

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Nov 13, 2018

Very easy to follow instructions. Great learning.!

创建者 Mahesh p

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Jun 18, 2018

Good course and learned deep learning optimization

创建者 ANKAN B

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May 30, 2018

Amazing Course and will complete rest courses too.

创建者 Joseph F

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May 24, 2018

Step by step about essential work of deep learning