TensorFlow Example

Input Data

Reduce Loss

Explained

The model above performs 4 important steps:

• It Collects Data
• It Prepares Data
• It Trains a Model
• It Evaluates the Model

In the next chapters you will learn how to program a copy of the above example.

You will learn how to fetch data, clean data, and plot data.

You will also learn how to build a TensorFlow model, and how to train the model.

• Fetch and Clean Data
• Create a TensorFlow Model
• Train the Model

Graphics (tfjs-vis)

The graphics is diplayed using the tfjs-vis library.

tfjs-vis is a small library for in browser visualization intended for use with TensorFlow.js.

Main Features are:

• Graphic tools for visualizing Machine Learning
• Functions for visualizing TensorFlow Objects
• Visualizations can be organized in a Visor (a modal browser window)
• Can be used with Custom Tools likes d3, Chart.js, and Plotly.js