11_More_with_TensorFlow

Ch 11: More with TensorFlow

1. Visualizing Computational Graphs (with Tensorboard)

• An example of using histograms, scalar summaries, and creating images in Tensorboard.

2. Working with a Genetic Algorithm

• We create a genetic algorithm to optimize an individual (array of 50 numbers) toward the ground truth function.

3. 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.

4. 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.

5. Using a Random Forest

• We illustrate how to use TensorFlow's gradient boosted regression and classification trees.

6. 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.