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Building Neural Networks with Keras

JS

Julie Sturgeon

Transcript

Building Neural Networks with Keras

Artificial Neural Network

Pre-Trained Networks

Introducing Keras

  • Xception, VGG16, VGG19, ResNet50, InceptionV3 (Images)
  • MusicTaggerCRNN (Audio)
  • Runs on top of TensorFlow or Theano
  • Allows for fast prototyping
  • Runs on CPU or GPU

Image from https://research.googleblog.com/2016/03/train-your-own-image-classifier-with.html

Photo credit: http://kotsanas.com/gb/exh.php?exhibit=2103008

Figures from: https://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html

Resources

Guiding Principles

Data Manipulation

Hyperparameters are fun!

  • Modularity
  • Minimalism
  • Easy extensibility
  • Python!
  • CIFAR10 small image classification
  • IMDB Movie reviews sentiment classification
  • MNIST database of handwritten digits
  • Reuters newswire topics classification
  • Sequence, Text and Image Preprocessing

Tutorial from: http://machinelearningmastery.com/tutorial-first-neural-network-python-keras/

Keras Documentation: https://keras.io/

This book is awesome: http://neuralnetworksanddeeplearning.com/

  • Network Structure
  • Model initialization
  • Activation Functions
  • Loss Function
  • Learning "optimizer"
  • Number of iterations
  • Mini-batch size

Let's See One!

Cool Stuff They've Done

Lots of Types of Layers

  • Google DeepMind (AlphaGo)
  • IBM Watson (Oncology)
  • Even Kristen Stewart! (Neural Style Transfer)
  • So many core!
  • Convolutional
  • Recurrence
  • Write your own!

Code for neural network diagram:

https://gist.github.com/craffel/2d727968c3aaebd10359

https://arxiv.org/pdf/1701.04928v1.pdf

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