AI

Applications

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• This New App Is Like Shazam for Your Nature Photos. Seek App.
• Draw This camera prints crappy drawings of the things you photograph (DIY) with Google's quickdraw.
• What Are Machine Learning Algorithms? Here’s How They Work
• Google的人工智慧開源神器三歲了，它被用在很多你想不到的地方 Nov 2018

TensorFlow

• https://www.tensorflow.org/
  • https://www.tensorflow.org/install/docker
• https://tensorflow.rstudio.com/
  • R interface to Keras. I followed the instruction for the installation but got an error of illegal operand. The solution is to use an older version of tensorflow; see here. library(keras); install_keras(tensorflow = "1.5") (Ubuntu 16.04, Phenom(tm) II X6 1055T)
  • https://rviews.rstudio.com/2018/04/03/r-and-tensorflow-presentations/, Slides
  • https://hub.docker.com/r/andrie/tensorflowr/ (outdated)
• Deep Learning on Biowulf
• Raspberry Pi
  • How to Install Tensorflow on Raspberry Pi
• Books
  • Deep Learning with R by François Chollet with J. J. Allaire, 2018. ISBN-10: 161729554X (available on safaribooksonline)
  • Deep Learning with Python by François Chollet, 2017 (available on safaribooksonline)
  • Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
• Tensor operations:
  • relu(x) = max(0, x)
  • Each neural layer from our first network example transforms its input data:output = relu(dot(W, input) + b) where W and b are the weights or trainable parameters of the layer.
• Training process
  1. Draw a batch of X and Y
  2. Run the network on x (a step called the forward pass) to obtain predictions y_pred.
  3. Compute the loss of the network on the batch
  4. Update all weights of the network in a way that slightly reduces the loss on this batch.
• Derivative of a tensor operation: the gradient
  • Define loss_value = f(W) = dot(W, x)
  • W1 = W0 - step * gradient(f)(W0)
• Stochastic gradient descent
• Deep Learning Glossary
  • http://www.wildml.com/deep-learning-glossary/
  • What is an epoch in deep learning?

PyTorch

An R Shiny app to recognize flower species