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.
Fall 2016: https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC
Spring 2017: http://www.youtube.com/playlist?list=PLC1qU-LWwrF64f4QKQT-
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 :)
@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.