+ 50

Deep Learning and AI. Convalutional Neural Networks for Visual Recognition.

This course has helped me immensely with my understanding of Deep Learning, Computer Vision and AI. This is a great place to start if you have interest in any of these fields 😊 They use python, but you don't need to use it to get the concepts. I am currently pursuing a master's degree in cybernetics and robotics. http://cs231n.stanford.edu Fall 2016: https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC Spring 2017: http://www.youtube.com/playlist?list=PLC1qU-LWwrF64f4QKQT-

16th Dec 2017, 4:50 PM
Bjarte Mehus Sunde
Bjarte Mehus Sunde - avatar
18 Answers
+ 8
Thanks for posting this! ☺
27th May 2017, 6:25 PM
Haris
Haris - avatar
+ 7
I always wanted to pursue a degree in cybernetics but I can't. Well, you are in fabulous stream and thanks for the post.
28th May 2017, 9:23 AM
Vaibhav Sharma
Vaibhav Sharma - avatar
+ 5
tensorflow is helpful for machine learning and deep learning AI as well..it's a open source library developed by Google..works with python
2nd Nov 2017, 10:47 AM
sanket parmar (SP)
sanket parmar (SP) - avatar
+ 5
also udacity academy very helpful..for ai ..related videos
2nd Nov 2017, 10:51 AM
sanket parmar (SP)
sanket parmar (SP) - avatar
+ 4
Hi and thanks for sharing the above links! What sorts of specific applications of computer vision you’re looking at, currently? :) I’m quite interested in the applicability of CV in the monitoring and navigation of harsh environments, and might consider that as a topic for further study (sometime in the near future, hopefully). In my current role, the only area which is AI-related is the condition based monitoring of machinery (although CBM is still in its early stages where I work, and is therefore not the main focus of my job, sadly). I am interested in languages/natural language processing as well, and so deep learning in machine translation is also an area of particular interest. So for now, I’m working towards having a good understanding of the principles behind AI, and its potential capabilities :)
30th May 2017, 8:11 AM
Thewych
Thewych - avatar
+ 4
thanks for the post..
2nd Nov 2017, 10:45 AM
sanket parmar (SP)
sanket parmar (SP) - avatar
+ 4
thanks
1st Apr 2018, 6:35 PM
Biel Blue
Biel Blue - avatar
+ 3
thanks!
28th May 2017, 7:29 AM
Ankit RAJ
Ankit RAJ - avatar
+ 3
Can this be useful for Data Science?
28th May 2017, 11:06 AM
Devansh Saini
Devansh Saini - avatar
+ 3
thanks!
28th May 2017, 11:48 AM
ifl
ifl - avatar
+ 3
@Wes I'm not sure what you mean with kernel. The most important things I've learned form this course; understanding how backpropagation works, and seeing how Convolutional Neutral Networks should be built, trained and tuned.
29th May 2017, 6:20 AM
Bjarte Mehus Sunde
Bjarte Mehus Sunde - avatar
2nd Aug 2018, 8:19 PM
Giacomo Schiavo
Giacomo Schiavo - avatar
+ 3
*Bookmarked
19th Mar 2019, 6:24 PM
Saurabh Tiwari
Saurabh Tiwari - avatar
+ 2
Thank you.
21st Nov 2017, 1:38 AM
Tahsin Tiryaki
Tahsin Tiryaki - avatar
+ 2
Looking forward to checking this out, thanks for the links.
21st Nov 2017, 1:41 AM
Erik
+ 1
What was the most impotant kernel that you gathered from this course?
29th May 2017, 2:42 AM
Wes
+ 1
Thank you Bjarte Mehus Sunde.
29th May 2017, 6:18 AM
Devansh Saini
Devansh Saini - avatar