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インテル による An Introduction to Practical Deep Learning の受講者のレビューおよびフィードバック

4.2
139件の評価
29件のレビュー

コースについて

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....

人気のレビュー

AA
2020年7月11日

It is a challenge for me to devote time and attend the course in spite of the administrative works. I had a different experience in learning. All the lectures were well presented and with quality.

AB
2019年10月10日

I thank Coursera and the instructors for guiding through the basics of Deep Learning. The explanations were easy to understand, and would recommend this course to enthusiasts.

フィルター:

An Introduction to Practical Deep Learning: 26 - 29 / 29 レビュー

by Khandaker M A

2020年9月25日

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!!

by Cynthia K

2020年6月24日

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 Many of the exercises would not work because they were outdated or had files missing.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.

by kirushikesh D B

2020年12月25日

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.

by Neha S U

2021年4月9日

Concepts are not clear