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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

4.9
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:

6776 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6800 个评论(共 7,283 个)

创建者 Olena I

Apr 23, 2020

I think TensorFlow is outdated, PyTorch is the way to go in the future.

创建者 Jaap d V

Jan 7, 2020

Some tricky parts in the programming assignments. otherwise great class

创建者 alfredo g

May 29, 2019

too math, i hope futher parts contain more implementation than calculus

创建者 Imran P

Oct 4, 2017

I'd like a little more focus on tensorflow, perhaps starting at week 1.

创建者 Babu L P M

Oct 19, 2023

If can be better if more details on introduction to tensorflow added

创建者 Prateek L

Mar 27, 2020

There should be more examples first of all then moving to mathematics.

创建者 Mohammad A

Feb 25, 2020

Great Explation of hyperparameter tuning and best intro to Tensorflow.

创建者 Pascal A S

Jul 22, 2019

A bit too technical for my taste. But useful examples to work through.

创建者 Rindra R

Oct 10, 2017

Good curriculum and to the point. TensorFlow introduced a little late.

创建者 Yousif A

May 24, 2021

My one critique is that the TensorFlow topic was suddenly introduced.

创建者 Ashish G

Apr 27, 2020

course is not updates to tensorflow 2 but overall it is very helpful.

创建者 Fabio S

Nov 3, 2019

Suggestion of references, as a complement, would be very interesting.

创建者 Marcos C

Nov 3, 2019

Content needs update to leverage the state of the art in the subject.

创建者 Cristhian B

Aug 27, 2019

It's a hard course but the materials are great and their explanations

创建者 Srivatsan R

Jun 28, 2018

Needs more real coding exercises taht aren't mainly just copy & paste

创建者 jian29ye4

Oct 23, 2017

generally good but hope to get more assignment about parameter tuning

创建者 Kalp K V

May 21, 2020

Course was insightful but seemed difficult to grasp at some moments.

创建者 Vishal C

Mar 28, 2019

Tough Concepts are not explained clearly like dropout regularization

创建者 Silvério M P

Aug 31, 2018

Not as much detail on the topics as the first specialization course.

创建者 Mahendren T

Oct 30, 2017

Learnt a lot, assignments not as complex as would have hoped though.

创建者 Ali K

Aug 22, 2017

Material are excellent, but some assignments have little bit issues.

创建者 Abishek V P

Aug 13, 2020

Batch norm concept isn't taught well. Otherwise the course is good.

创建者 Enyang W

Jun 5, 2019

I liked it, but the tensorflow introduction came to early I think..

创建者 Sai K

Apr 23, 2020

There can be little more clarity in the Batch normalization topic.

创建者 Corina S

Jan 13, 2020

Informative course, last exercise could be updated to Tensorflow 2