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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：

3751 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3775 个评论（共 7,283 个）

创建者 Arijit C

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Apr 27, 2020

Great Learning, Learned a lot of basics...

创建者 Elio M

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Apr 25, 2020

Another great course by Andrew Ng. Thanks!

创建者 Stefan S

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Dec 24, 2019

Very professional course and well prepared

创建者 Shazam

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Dec 15, 2019

Assignments could be made a little tougher

创建者 Shah N K

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Jul 20, 2019

This Course as much practical as it can be

创建者 Zhou D

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May 31, 2019

very practical course! I am very grateful!

创建者 Sachin P B

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Mar 5, 2019

Found it so helpful! Truly among the best!

创建者 Caroline C

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Jan 20, 2019

Great sequel to course 1 for AI beginners.

创建者 Ricardo A

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Jan 4, 2019

Very practical tools to apply to training!

创建者 yongping.li

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Oct 27, 2018

a very very great and amazing class for me

创建者 Liu W

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Jul 29, 2018

very useful for improving deep NN accuracy

创建者 朱琪超

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Mar 27, 2018

it is amzing. I have learned a lot.Thank U

创建者 史小向

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Mar 8, 2018

A wonderful course ,I learn a lot from it!

创建者 Saket C

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Jan 14, 2018

Awesome course! Lot of new things to study

创建者 Nitin K

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Dec 21, 2017

Thanks Andrew Sir and team awesome course.

创建者 Jessie C

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Oct 23, 2017

Very nice course, and I like it very much!

创建者 Caleb J R T

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Oct 8, 2017

Best introduction to Tensorflow framework!

创建者 Manish A

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Oct 7, 2017

Very very informative. Gr8 learning curve.

创建者 monica

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Oct 4, 2017

I would like more practice with TensorFlow

创建者 Soubhik P

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Sep 25, 2017

Very well designed course. Thanks you sir.

创建者 罗锟

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Sep 13, 2017

very cool ! l have learned a lot from it !

创建者 Alexey K

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Sep 8, 2017

As usual, full of very lucid explanations.

创建者 hadi n

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Jun 27, 2023

Great like all courses provided by Andrew

创建者 BRABEEM S

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Jul 23, 2021

amazing

i hated the tensorflow part though

创建者 Moiz A S

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Apr 8, 2021

Perfect and Detailed. Andrew is the best!