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返回到 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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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63,489 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

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.

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：

6901 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6925 个评论（共 7,283 个）

创建者 Gopal M

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Sep 14, 2019

TensorFlow is a bit nebulous.I need more practice.

创建者 Jean-Marc S

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Dec 27, 2018

The syntax and logic of tensorflow is a bit blurry

创建者 Daniel F P R

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Dec 17, 2018

Was great! Would have loved to see more tensorflow

创建者 Kim y h

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Dec 10, 2018

좋은 강좌입니다. 단 한글 번역 부분에 오류가 많습니다. 이후에는 수정되었으면 좋겠습니다.

创建者 Shaun M

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Jul 8, 2018

Good follow-on from course 1 of the specialization

创建者 Mohammad M R

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Jan 3, 2018

Sorry for the last review - the quiz can be saved.

创建者 Gopala V

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Oct 24, 2017

Definitely improved my understanding on the tuning

创建者 erhan b

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Oct 20, 2017

Assignments are mostly copy past from instructions

创建者 Agnes

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Oct 13, 2017

it is very useful for the processing of modelling.

创建者 ZHE C

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Aug 17, 2017

include key idea on the tuning of hyperparameters

创建者 Ahmed H

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Dec 19, 2022

multiclass classification need more illustration

创建者 pranav b

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Jan 27, 2020

Best Course For Learning Hyper parameters Tuning

创建者 윤동준

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Mar 7, 2019

REALLY USEFUL.

BUT IT IS BIT HARD FOR BEGINNERS.

创建者 Sumitabha B

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Jun 9, 2022

The last tutorial on Tensorflow could be better

创建者 Shoaib Z

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Dec 29, 2020

1st and 2nd weeks are still somewhat confusing.

创建者 bahri d

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Nov 25, 2020

Teorik anlatım harika ama uygulama kısmı eksik.

创建者 JEROME D

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Sep 16, 2020

More than 10 videos is too much for just 1 quiz

创建者 Nims F

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Jun 19, 2020

amazing course with an amazing teaching method.

创建者 Santosh P

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Mar 22, 2020

Excellent course. Bit tougher than first course

创建者 Kousik R

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Jun 12, 2019

There are so many grader problems please fix it

创建者 Abhijith A

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Oct 1, 2018

Good course, could have done more on tensorflow

创建者 abiran r

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Jul 12, 2020

i learn a lot of things related to tensorflow

创建者 Mike R

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Nov 2, 2019

Tensor flow should be explained in more detail

创建者 Kullawat C

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Oct 2, 2018

Very great course on how to tune NN in details

创建者 Harsha S

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Jan 23, 2018

Builds on fundamentals, which is always good!!