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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：

3701 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3725 个评论（共 7,283 个）

创建者 Suraj P

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Feb 9, 2021

Most important and unique course of series.

创建者 Kostadin G

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Jan 5, 2021

Fantastic way to learn/improve your skills.

创建者 EL H E S

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Jun 16, 2020

thank you very much for this amazing course

创建者 Rima

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Jun 12, 2020

Many important issues are discussed. Thanks

创建者 Troy N

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Jun 4, 2020

This is the special sauce to deep learning.

创建者 Sadek N

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May 24, 2020

Very helpful course.

Thank you Mr. Andrew Ng

创建者 Avinash S

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Apr 28, 2020

Its a must attend course, in deep learning

创建者 Georgiy K

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Apr 26, 2020

Надзвичайно приємний курс. Усім рекомендую!

创建者 Jesus G

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Apr 16, 2020

A very useful collection of tips and hints.

创建者 Suresh K M

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Mar 3, 2020

Thank you for sharing such a deep knowledge

创建者 Abdul M

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Jan 31, 2020

math part was quite difficult to understand

创建者 Jaime G C

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Dec 4, 2019

i like it, specially the part of tensorflow

创建者 Chi Z

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Jul 26, 2019

Good introductory material. Easy to digest.

创建者 Bartosz G

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Jul 23, 2019

Amazing as always. Andrew you are the best!

创建者 Raj S

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Mar 28, 2019

I cant stop myself to watch the next course

创建者 Thor T

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Feb 4, 2019

Many nice hints about hyperparameter tuning

创建者 Naveen D

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Dec 30, 2018

Andrew Ng is the God Father of AI Teaching.

创建者 Peter S

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Nov 25, 2018

Andrew Ng is a seriously talented educator.

创建者 Rajan K

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Oct 29, 2018

Great guidance from Andrew!! Thanks a lot!!

创建者 齐德鑫

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Oct 14, 2018

my first output using tensorflow!amazing!!!

创建者 Karine I

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Aug 14, 2018

Excellent course! Interesting and engaging!

创建者 Ming Y

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Jul 12, 2018

It has copious details that helps me a lot.

创建者 Gordon L

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Jun 9, 2018

Good course!Especially the tenserflow part!

创建者 Yuxing T

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Apr 16, 2018

Great for practice in modern deep learning.

创建者 DeukYong Y

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Mar 31, 2018

중요한 Hyper parameter에 대한 배경과 이론을 이해할 수 있습니다.