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学生对 Intel 提供的 An Introduction to Practical Deep Learning 的评价和反馈

4.3
150 个评分

课程概述

This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading. You will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics....

热门审阅

GB

Jun 23, 2019

Tough Enough To Remove Dust Of Time From Your Brain. Quizes Were Good Brain Exercise

MS

Feb 21, 2019

well it has been a good course for me to get an overall view on Deep learning , but there was so much information in every video that was hard to grasp from the first time

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26 - An Introduction to Practical Deep Learning 的 30 个评论(共 30 个)

创建者 Eurofins I S I P L ( R

Mar 26, 2019

very good

创建者 Khandaker M A

Sep 25, 2020

Not the best course I must say! The course is theoretical & no assessment of practical exercises here. The exercises here are confusing. Even the quizzes do not what significant digits should be used to have the answers correct. Like at one question it's 0.xx & the next question it's 0.xxx . And the most frustrating thing, the instructors are completely absent from the discussion forums & even doesn't come to see what's happening overall & how're the students reacting for it.

This is the first course I've rated 4 or less stars because I chose it from other courses due to the Brand "Intel" who can teach me the concept in the right way. But this is not the course from Legendary "Intel" as it seemed. By the way, I would like to thank the Instructors for their time in the courses & would hope to modify it the way that makes it "Interactive". Good luck!!

创建者 Cynthia K

Jun 24, 2020

While the material was fine, there were some issues with this course. Many of the exercises would not work because they were outdated or had files missing. Critical information, such as formulas for solving problems, was not presented in a way that let you know it was important. Because of this, I found myself backtracking and scouring through videos to find what I was missing. This course does not feel like an "introduction" class; it seems like there should be a pre-requisite to it, or at least a list of what-you-will-need before taking it.

创建者 kirushikesh D B

Dec 25, 2020

Some of the topics are not explained in detail are i referred other resource for that topics. Like LSTM's, GRU's and multinode distributed training. Explanation is clear still can much more elaborate on all topics.

创建者 Neha S U

Apr 9, 2021

Concepts are not clear