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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
63,492 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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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:

1776 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1800 个评论(共 7,283 个)

创建者 Ewa L

Nov 12, 2017

Another fantastic course from Andrew. Incredibly useful for all those who took a deep dive into deep learning.

创建者 Franklin V

Aug 22, 2023

Andrew Ng and his team are providing again another excellent AI course, this time focusing on hyperparameters

创建者 Matthew M

Mar 5, 2021

Really good content. Given tensorflow i can see why Andrew has said you dont NEED to be a master of calculus!

创建者 Zhang K

Jan 19, 2021

This course is easy to understand, I gain the knowledge of the "magic" of getting deep learning to work well.

创建者 Hawren F

Jan 2, 2021

Andrew Ng explained the optimization algorithms very well, and provided some insights of batch normalization.

创建者 Javier A

Oct 24, 2020

Excellent! Andrew is a top teacher. Love the mix between theory, practice and interviews. Keep the good work.

创建者 Jasper

Apr 3, 2020

Good simple overview of basic techniques. Could use more references to useful papers, software packages, etc.

创建者 David V

Feb 9, 2020

This is one of the most rewarding courses I've taken, and the quality of the material is absolutely stunning.

创建者 FAIZAN P

Jan 12, 2020

Simple and clear explanation with good practice.

This course explains why Andrew Ng. is the best in the field!

创建者 Daniel R

Jul 1, 2019

Great course for beginner to deep learning.I take this course after Machine Learning course by

Andrew Ng.

.

创建者 Chayan B

Jun 26, 2019

I am getting and learning a lot of information through this course. Thank you Andrew Ng sir for such a course

创建者 Regi M

Mar 20, 2019

The subject was covered in amazing detail. The highlight was that the great balance of concepts and practice.

创建者 Clerc-Gherardi

Jan 13, 2019

It completes well the first course. I'll hope the next lectures will be as interesting as the two first were.

创建者 Mohamad K

Sep 14, 2018

Its a great course really teach you all things you need in easy way , Many Thanx for prof Andrew and Coursera

创建者 도준Mark

Sep 10, 2018

Absolutely enjoyed the materials! Thank you for all of your dedicated efforts creating this incredible class!

创建者 Deepthi B C

Jun 30, 2018

Very useful module. The techniques discussed are intuitive and help understand deep neural networks deeper :)

创建者 Brighter A

Mar 12, 2018

The intuitions that accompany the principles of DL taught in this course is just one of a kind. I am grateful

创建者 Yuning C

Feb 22, 2018

Looks like a simple course at the first glance. In fact, it contains much more information than you expected!

创建者 Gema P

Feb 8, 2018

This course is practical and useful. The programming assignments are straightforward .

I would recommend this

创建者 Hua W

Jan 26, 2018

Detailed instruction on optimization, hyper parameter tuning, batch normalization and deep learning framework

创建者 Qi Z

Sep 21, 2017

Great course, help you to understand the real programming, also using 20min to let you understand Tensorflow.

创建者 Joel O

Sep 13, 2017

Once again, an absolutely beautiful course, taught with great clarity and intuition! I loved every bit of it!

创建者 vivek g

Sep 16, 2024

Andrew is amazing. So clear, patient, and concise when needed. I am learning a lot and enjoying the process.

创建者 Ayush S

Apr 16, 2022

A great course for ML learner. Good understanding model optimization. Deeply show the proof of all concepts.

创建者 David S

Feb 26, 2021

Continuing to provide great insight into the tuning of models. Plus a very fast introduction to tensorflow.