/2018.tflow

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2018/1 Machine Learning for Image Processing with TensorFlow

We will be using a virtual machine with all required libraries. Contact me at rramosp@unal.edu.co to get it.

Make sure the virtual machine is set with two virtual cores and 2048 GB RAM at least.

Start the VM and open your browser at http://localhost:8008

It is recommended to close all applications on your physical machine and use a lightweight browser (http://www.maxthon.com/, https://www.qupzilla.com/, etc).

Contents

  1. Machine learning algorithm design workflow
  2. TensorFlow for symbolic computing
  3. Multilayer perceptrons
  4. Convolutional neural networks
  5. TensorFlow high level API
  6. Finetuning
  7. Multimodal data
  8. Mutichannel imagery