Chevron Left
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

4.9
63,478 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

RR

Jun 12, 2020

Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video

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

筛选依据:

7201 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 7225 个评论(共 7,283 个)

创建者 Rishab K

Apr 17, 2020

good course to learn, but more assignments should be introduce n week3

创建者 Rajat K S

Jan 11, 2020

Most of the solutions to the assignment were written in instructions.

创建者 Ganesan G

Dec 28, 2017

I am not getting to see the programming exercises that i have done :(

创建者 Adam S

Oct 24, 2022

Some good stuff, but very slow, and the coding was pretty trivial.

创建者 Jonghyun K

Apr 24, 2020

voice was too small compared to noises made by clothes and others.

创建者 Aastha S

Jul 14, 2021

More explanations required for functions used in tensorflow lab

创建者 FREDERIC T

May 13, 2018

Good courses, the sound quality is very poor (high tone noise).

创建者 Suhas M

Jan 20, 2019

Interface for evaluating is not great and assignments are easy

创建者 Alex

Sep 4, 2017

The Tensorflow part should have started sooner in the course.

创建者 Aloys N

Jun 30, 2019

We could have more guidance on setting a tensorflow model

创建者 HAMM,CHRISTOPHER A

Apr 29, 2018

Lots of theory and not enough practical implementation.

创建者 Stefan S

Sep 22, 2020

Content starts to feel old, but still interesting.

创建者 Tadeu V (

Jan 30, 2025

I was expecting a more hands-on practical course.

创建者 Hasnaa T

Feb 10, 2020

the circulum was some hard and over detailed

创建者 luca m

May 4, 2020

I would have loved to have a session on TF2

创建者 Kenneth C V

Aug 29, 2019

Course is a bit complex due to the subject

创建者 Kartheek

Feb 1, 2019

week 3 topics would have been a bit better

创建者 Tushar B

Jun 11, 2018

Assignments vs lecture, difference is huge

创建者 Aashita G

Jun 1, 2020

fast paced not enough emphasis on topics

创建者 Amod J

Mar 17, 2018

Want to download my own work but cannot.

创建者 Rachana O

Aug 17, 2020

Can be done in more interesting manner.

创建者 Mark L

Jul 16, 2020

great superficial intro to the content

创建者 jerome c

Oct 14, 2018

Need more training on Tensorflow, imho

创建者 Juan J D

Sep 10, 2017

tensorflow subject was to superficial

创建者 Weeha G

Jul 25, 2021

Assignment of week 3 is toooo brief.