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Alejandro Isaza
August 02, 2016
Programming
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47
Neural networks on your phone
Slides for technical lightning talk on neural networks running on portable devices.
Alejandro Isaza
August 02, 2016
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Transcript
Artificial Intelligence
Companies doing AI
[the AI revolution is] no longer a matter of if,
but when. — Tech Crunch 1 1 https://techcrunch.com/2016/07/18/why-the-top-5-tech-companies-are-dead-set-on-ai/
Neural networks
None
Neural networks on your phone
Snapchat Forevery Prisma
None
https://intune.com
None
BrainCore https://github.com/aleph7/BrainCore
InfiniteMonkeys https://github.com/craigomac/InfiniteMonkeys
None
Training a network Keras: https://github.com/fchollet/keras 2 2 https://github.com/fchollet/keras/blob/master/examples/lstm_text_generation.py
func loadNetFromFile(path: String) -> Net { guard let file =
File.open(path, mode: .ReadOnly) else { fatalError("File not found '\(path)'") } let lstm_1 = try! loadLSTMLayerFromFile(file, name: "lstm_1") let lstm_2 = try! loadLSTMLayerFromFile(file, name: "lstm_2") let denseLayer = loadDenseLayerFromFile(file) return Net.build { self.dataLayer => lstm_1 => lstm_2 => denseLayer => self.sinkLayer } }
let evaluator = try Evaluator(net: net, device: self.device) // Run
while running { evaluator.evaluate { snapshot in let char = sinkOutput() display(string: char) dataLayer.data = self.inputFromChar(char).elements } }
Alejandro Isaza https://github.com/aleph7