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An open source deep learning curriculum
- orangutango 10y ago+1 for Information Theory, Inference, and Learning Algorithms. A fantastic book by the late David C Mackay. Part V has an interesting presentation of neural networks, but really this book is about information theory and Bayesian probability. http://www.inference.phy.cam.ac.uk/itila/ http://www.inference.phy.cam.ac.uk/itila/
- sonabinu 10y agoIf there was a way to organize a group and work through the classes - it would be awesome!
- FullMtlAlcoholc 10y agoI'd be willing to team up with you to learn Deep... ahem... learning. I'm familiar with linear Algebra, so I could offer help and study R or Python while you work through it
- sonabinu 10y agoHow do I team up with you? I am familiar with R and Python as well. I haven't officially done a Linear Algebra class but I understand matrix operations well.
- FullMtlAlcoholc 10y agoMy email is in my profile?
- sonabinu 10y agoCan't find it in your profile
- pouta 10y agoI would also like to team up, hit me up at pedromamoura at hotmail.com
- FullMtlAlcoholc 10y agofullmetalalcoholic84 [at] gmail [dot] com
- deleted 10y ago[deleted]
- _mhr_ 10y agoReally good idea. One of the things that I found lacking (in retrospect, now that you mention it) in Coursera when I used it was that study groups weren't an official feature. I'm sure people made them unofficially in the forum, but it wasn't an official part of Coursera. I think it would really elevate MOOCs to another level if you could have face-to-face Skype-like study groups with other students during assignments.
- sonabinu 10y agoAgree ... I think we have a small group here who is interested
- webmaven 10y agoI'm thinking of setting up a Slack (or similar, like Ryver) team for this, as opposed to pairing. Any interest?
- webmaven 10y agoInteresting, and quite different from other such lists that I've seen: https://www.quora.com/How-do-I-learn-machine-learning-1 https://www.quora.com/How-do-I-learn-machine-learning-1