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Ch 11: More with TensorFlow

  1. Visualizing Computational Graphs (with Tensorboard)
  • An example of using histograms, scalar summaries, and creating images in Tensorboard.
  1. Working with a Genetic Algorithm
  • We create a genetic algorithm to optimize an individual (array of 50 numbers) toward the ground truth function.
  1. Clustering Using K-means
  • How to use TensorFlow to do k-means clustering. We use the Iris data set, set k=3, and use k-means to make predictions.
  1. Solving a System of ODEs
  • Here, we show how to use TensorFlow to solve a system of ODEs. The system of concern is the Lotka-Volterra predator-prey system.
  1. Using a Random Forest
  • We illustrate how to use TensorFlow's gradient boosted regression and classification trees.
  1. Using TensorFlow with Keras
  • Here we show how to use the Keras sequential model building for a fully connected neural network and a CNN model with callbacks.