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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
63,493 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

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

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:

2251 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2275 个评论(共 7,283 个)

创建者 Edgar O

Dec 5, 2020

Really nice course. I love how the concepts are explained with clarity and simplicity :)

创建者 Gurprem S

Oct 10, 2020

Love the tensorflow introduction. It was fun to see how much you can do with frameworks!

创建者 Mohamed M

Aug 6, 2020

Great overview for a lot of hyper parameters, regularization and optimization techniques

创建者 RAHUL B

Jul 10, 2020

Once again this course is amazing and it really helps me for improving the NN. Thank you

创建者 Abhishek P

May 31, 2020

Was interesting to learn some important things like tuning hyperparameter and Tensorflow

创建者 Jorge B P

Mar 10, 2020

In my opinion, this is one of the most important courses of Deep Learning Specialization

创建者 Will M

Feb 8, 2020

This course was difficult after being away from the material for a while, but I made it.

创建者 Vipul S

Dec 20, 2019

Found no other course which deals with improving DNN in such depth and organized manner.

创建者 André E

Nov 3, 2019

Thanks great!

But the slides for the downloads are not always exactly the same as shown.

创建者 akyang

Jul 30, 2019

Detail explanation and programming assignment for review are really helpful. Thank you.

创建者 Nenad S

Jun 5, 2019

Highly valuable insights and amazing teaching style. I will likely go back to this one.

创建者 Rahul K

Jan 28, 2019

very good content on Hyperparameter tuning , regularization ,Optimization and tensorflow

创建者 chiven

Dec 12, 2018

finishing the courses, I learned how to tune hyperparameters and basic use of tensorflow

创建者 刘尧

Oct 30, 2018

Wonderful Course! I learnt Many Great Skills for Play with Deep Learning and Tensorflow!

创建者 Максим К

Oct 14, 2018

Very interesting & userful course, but I would like to see more programming assignments.

创建者 Vineet M

Jul 28, 2018

A basic programming exercise (optional or mandatory) purely on Tensors will really help

创建者 Ebin A

Jun 18, 2018

The course contains all the basic to know work with neural network and how to perfect it

创建者 Martin D

Apr 15, 2018

Excellent Andrew, easy to comprehend, focus on relevant information, valuable exercises.

创建者 Jorge E

Mar 11, 2018

Excellent detail, and the introduction to Tensor Flow it is really amazing in symplicity

创建者 Kelvin R

Feb 16, 2018

Gave me a good understanding of the more intricate parts of building an effective model.

创建者 seungwon k

Oct 18, 2017

Thanks for great lecture. I really appreciate it and definitely going on to next course.

创建者 Zhou L

Oct 6, 2017

I learned a lot of tricks in hyper-parameter tuning. Very helpful for real applications!

创建者 Xu Z

Sep 30, 2017

Thanks a lot for the financial aid. Hope Coursera will grow larger and larger in future.

创建者 Szabolcs S

Sep 19, 2017

The TensorFlow parts need more explanation in my opinion. But the other parts are great!

创建者 Kunal S S

Sep 18, 2017

Amazing course but could use better video explanations and should provide more resources