An introduction to Deep Learning with MXNet in Julia
Details
Title: An introduction to Deep Learning with MXNet in Julia
Speaker: Milton Huang, MD, QEEG-D
This talk will give a short background on the application of neural networks to supervised learning, including the multi-layer perceptron, the convolutional networks, and recurrent neural networks. We will then look at some of the frameworks that are used to create neural network programs and go into the code to create these with the MXNet framework in Julia. Code for the talk is available on GitHub at
https://github.com/ultradian/julia_notebooks/tree/master/mxnet
Milton Huang, MD, QEEG-D is former psychiatrist, more recently working on EEG analysis for the purpose of understanding and directing EEG biofeedback, also known as neurofeedback. He is now studying machine language techniques to apply them to this problem and the larger related challenge of modeling interconnections of human behavior, emotions, and physiology.
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Parking info:
One parking option is to lot 508 on Diverty street. This is the closest lot to the BIT building, where the meetup is held. You will need to pay for parking, using the yellow box you'll see as you enter the lot.
Another parking option is to park in lot 71 on Inter-Garrison Rd. at the intersection of Inter-Garrison and 6th Ave. This lot is not as close to the BIT building as lot 508, but it always has open spots. Again, pay for parking using the yellow box you see when entering the lot.