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