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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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63,514 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

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

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

筛选依据：

7226 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 7250 个评论（共 7,288 个）

创建者 Rachana O

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Aug 17, 2020

Can be done in more interesting manner.

创建者 Mark L

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Jul 16, 2020

great superficial intro to the content

创建者 jerome c

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Oct 14, 2018

Need more training on Tensorflow, imho

创建者 Juan J D

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Sep 10, 2017

tensorflow subject was to superficial

创建者 Weeha G

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Jul 25, 2021

Assignment of week 3 is toooo brief.

创建者 SATHVIK S

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Jul 26, 2020

Can dive deeper into the mathematics

创建者 Trevor M

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Nov 23, 2020

good lectures terrible exercises

创建者 Maisam S W

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Oct 4, 2017

I still find tensorflow hard.

创建者 Andrey L

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Oct 1, 2017

week 2 was extremely boring

创建者 Cheran V

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May 9, 2020

Outdated with Tensorflow 1

创建者 QUINTANA-AMATE, S

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Mar 11, 2018

Again, nice videos but not

创建者 Matthew P

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Sep 3, 2021

Focused a bit on minutia.

创建者 Adam G

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Jul 11, 2020

Multiple grading issues.

创建者 Chaitanya M

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Jul 1, 2020

could be more engaging

创建者 José A G R

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May 23, 2023

Estoy muy emocionada

创建者 Cory N

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Jan 8, 2020

Update for TF2.0 :)

创建者 Aleksei A

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Sep 7, 2017

Looks raw yet.

创建者 Ilkhom I

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Mar 21, 2019

awful sound

创建者 Akhilesh

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Mar 14, 2018

enjoyed :)

创建者 Sai R

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Nov 9, 2022

Good

创建者 zhesihuang

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Mar 2, 2019

good

创建者 CARLOS G G

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Jul 14, 2018

good

创建者 Hoàng N L

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Feb 12, 2019

N/A

创建者 KimSangsoo

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Sep 17, 2018

괜찮음

创建者 Dave L

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Oct 3, 2024

The videos are good and go into a lot of the details. However, the programming tasks are not very useful. They basically expect you to plug certain lines into an almost complete programme, without really understanding what the individual lines - let alone the rest of the programme - really mean. Also, there is the occasional reference to lecture notes. However, those lecture notes are just the slides that are being used with hand-written annotations on top, and without the accompanying videos, they are not useful.