Exercises

1. Find the PoseNet demo application in tfjs-models and run it in your local machine: https://github.com/tensorflow/tfjs-models/tree/master/posenet.
2. Write an application that draws a circle where you click in the canvas area.
3. Build an application that classifies the given image by using:
   1. MobileNet in tfjs-models
   2. Image Classifier in ML5.js (ml5.imageClassifier)
4. Use the SketchRNN application to:
   1. Use the model for drawing a bird.
   2. By adjusting the temperature parameter of PDF, look into how the generated image is changed.
5. Train RandomForestClassifier from machinelearn.js to predict the output value of OR, AND, and NAND logic.
6. Build a pipeline, including preprocessing, as follows by using machinlearn.js:
   1. The input Iris dataset is available in machinelearn.js.
   2. The model is RandomForestClassifier.
   3. The model is evaluated by using train_test_split.
   4. The metric to evaluate...