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

Question

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-

Answer 1

@Devansh https://www.quora.com/What-is-the-difference-between-Deep-Learning-Machine-learning-and-Artificial-Intelligence-Is-Deep-learning-related-to-data-science

Answer 2

Thanks for posting this! ☺

Answer 3

I always wanted to pursue a degree in cybernetics but I can't. Well, you are in fabulous stream and thanks for the post.

Answer 4

tensorflow is helpful for machine learning and deep learning AI as well..it's a open source library developed by Google..works with python

Answer 5

also udacity academy very helpful..for ai ..related videos

Answer 6

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 :)

Answer 7

thanks for the post..

Answer 8

thanks

Answer 9

thanks!

Answer 10

Can this be useful for Data Science?

Answer 11

thanks!

Answer 12

@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.

Answer 13

https://code.sololearn.com/W95XqzQyJv4s/?ref=app
👍

Answer 14

*Bookmarked

Answer 15

Thank you.

Answer 16

Looking forward to checking this out, thanks for the links.

Answer 17

What was the most impotant kernel that you gathered from this course?

Answer 18

Thank you Bjarte Mehus Sunde.