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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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

筛选依据：

3426 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3450 个评论（共 7,283 个）

创建者 saad a

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Jul 22, 2019

perfect course, very clear. Thank you Dr. Andrew Ng

创建者 Bill F

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Jul 16, 2019

Lots of techniques and methods for optimizing a NN.

创建者 Deleted A

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Feb 21, 2019

wanna know what going under hood , explore this one

创建者 Nitin s

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Jan 22, 2019

Fun, Enlightening and above all easy to understand.

创建者 Priyanka D G

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Nov 25, 2018

It is already good, But places need to correct typo

创建者 hong c

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Aug 9, 2018

thank for teachers provider this course,very useful

创建者 顏佑軒

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Jun 24, 2018

This is really really a good course to deeplearning

创建者 Jack

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Jun 12, 2018

Fantastic presentation with details well explained!

创建者 Juan V

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Jun 10, 2018

Great course! Really well explained, step-by-step!!

创建者 Arnab S

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Mar 5, 2018

Amazing course. Got to learn about hyperparameters.

创建者 Juan R

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Feb 15, 2018

Great course, well covered and perfectly explained.

创建者 Wei X

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Jan 25, 2018

As the other two previous courses, I learned a lot.

创建者 Earl R

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Oct 29, 2017

Great instructor!! Teaches at just the right level.

创建者 Kyle S

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Oct 8, 2017

He's done it again! Seriously Andrew Ng is the man.

创建者 Heejo L

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Aug 19, 2017

Great tutorial course for Deep Learning !!! Thx !!!

创建者 Shantanu S

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Jan 4, 2025

Very helpful, well paced and effective at training

创建者 Maninda E

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Apr 30, 2023

Taught a very complex content in the simplest way!

创建者 Murad R

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Sep 11, 2022

I think the easyest deep learning course out there

创建者 Julie W

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Apr 11, 2022

Very well designed! Thank you Andrew and the team!

创建者 Weidi P

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May 19, 2021

Great course to know how to tune super-parameters.

创建者 Daimer J M O

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Apr 24, 2021

It'd be great if we had worked more on TensorFlow.

创建者 Daniel B

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Jan 15, 2021

Great in-depth explanations and hands-on examples.

创建者 vedang c

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Jan 3, 2021

Excellent course! Good introduction to TensorFlow.

创建者 Alvin K

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Oct 14, 2020

This is a very awesome course. Andrew is the best.

创建者 Marcelo V

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Jul 9, 2020

very interesting information, really deep insights