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Learn/AI/Example 2

AI•Example 2

TensorFlow Example 2

Concept visual

TensorFlow Example 2

Graph traversalgraph

current

queued

1

4

Start from A

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

Formula

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

Loading lesson path

Learn/AI/Example 2

AI•Example 2

TensorFlow Example 2

Concept visual

TensorFlow Example 2

Graph traversalgraph

current

queued

1

4

Start from A

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

Formula

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.