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An Introduction to Practical Deep Learning(으)로 돌아가기

An Introduction to Practical Deep Learning, Intel

4.3
44개의 평가
10개의 리뷰

About this Course

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....
필터링 기준:

10개의 리뷰

대학: Praveen kumar

Apr 28, 2019

No projects! The knowledge level is good though.

대학: Ramakrishna Bijanapalli Chakri

Apr 05, 2019

This course is not worth the time and money. I would suggest doing any of courses in the Andrew Ng's deeplearning.ai specialization instead. No programming assignments that's evaluated here. No instructor or TA are active in the forums. No questions are answered in the discussion forums. Many courses in deep learning are available online where you can actually learn something by getting hands-on.

대학: RAMA REDDY R

Apr 01, 2019

Thank you Intel and Coursera

대학: Ambar Ray

Mar 26, 2019

very good

대학: Mohammed Saad Elsayed

Feb 22, 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

대학: Ehtesham Hassan

Feb 13, 2019

Excellent learning experience. Thank you...

대학: Shubham rajput

Oct 20, 2018

Good for theory knowledge , but very low in practical knowledge

대학: Emil Lambrache

Sep 25, 2018

A very dense and informative course.

대학: Dongliang Yi

Jul 30, 2018

Great course

대학: Brad Chick

May 13, 2018

Love this course!! Thanks.