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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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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

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

DH

Apr 26, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

筛选依据：

3701 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3725 个评论（共 7,286 个）

创建者 300_MEGHA S

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Jan 18, 2022

perfect course for deep learning enthusiast

创建者 JONATAN D P H

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Jul 5, 2021

Genial!. Muchas gracias, aprendí muchísimo.

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!