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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

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

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

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:

2776 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2800 个评论(共 7,283 个)

创建者 Katlego N

Feb 28, 2021

Like the Course, wished the dataset to the particle were shared Aswell

创建者 Nils H

Sep 16, 2020

The Tensor Flow v1 programming assignment should be replaced by v2 one

创建者 ALİ T

Jul 22, 2020

Best course for researchers, Msc Phd students. Thanks for your effords

创建者 Nick G

Apr 16, 2020

Very instructive, to learn low-level tecniques for ML usually not seen

创建者 Shivakeshavan

Apr 15, 2020

It was a useful course but would appreciate more details on Batchnorms

创建者 Dishant S

Apr 11, 2020

An excellent course covering all the basics and required explanations.

创建者 Juan B T G

Mar 25, 2020

This course, as part of Deep Learning specialization, is simply great.

创建者 Gourav M

Jul 15, 2019

Great practice to get hands on programming skills in machine learning!

创建者 Bharat S S

Jun 3, 2019

Very well organized and delivered in a fantastic way by Professor Ng !

创建者 Elena S

May 22, 2019

great course! super practical. you learn how to actually work with DNN

创建者 Eric H

May 18, 2019

Prof Ng is awesome! Teaching you the details of how NN work, and why.

创建者 Siddhant M

Mar 17, 2019

Really Helpful for strengthening the basics of hyper-parameter tuning.

创建者 Humberto N

Dec 7, 2018

Great explanation on Hyperparameters, Regularization and Optimization.

创建者 Vova F

Aug 26, 2018

Excellent. May just as well be the benchmark for all Coursera courses.

创建者 Balázs B

Jun 2, 2018

Excellent course, providing a great start in practicing deep learning.

创建者 Sanjeev U P

Apr 22, 2018

Well organized and clearly explained. I finally understand tensorflow.

创建者 Florence C

Apr 19, 2018

Several important techniques about tuning hyper-parameters were learnt

创建者 Bill R

Apr 15, 2018

Andrew Ng does a GREAT job of breaking things down and making it easy.

创建者 Amir T K

Feb 18, 2018

Very very useful and efficient course for starting actual DL projects.

创建者 John C

Jan 8, 2018

Fantastic coverage of hyperparameter tuning in a deep learning context

创建者 Konstantin Z

Jan 7, 2018

Practical with lots of helpful tips. Very nice intuitive explanations.

创建者 Samuel Y

Dec 1, 2017

It would be better to introduce other frameworks as optional material.

创建者 Taehee J

Nov 28, 2017

This course gets in depth for deep learning based on the first course.

创建者 Aman G

Nov 26, 2017

Awesome course... Please continue making courses.. Thank you so much..

创建者 Edir G L

Nov 2, 2017

Very interesting stuff indeed. Mostly Regularization and Optimization.