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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-
18 Answers
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Thanks for posting this! ☺
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I always wanted to pursue a degree in cybernetics but I can't. Well, you are in fabulous stream and thanks for the post.
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tensorflow is helpful for machine learning and deep learning AI as well..it's a open source library developed by Google..works with python
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also udacity academy very helpful..for ai ..related videos
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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 :)
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thanks for the post..
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thanks
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thanks!
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Can this be useful for Data Science?
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thanks!
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@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.
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*Bookmarked
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Thank you.
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Looking forward to checking this out, thanks for the links.
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What was the most impotant kernel that you gathered from this course?
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Thank you Bjarte Mehus Sunde.