Now lets try the above in a full Machine Learning Web App using https://www.machine2learn.com/deep-learning-model-generator/ Click the "Load URL" button to load the generated JSON file https://hpssjellis.github.io/beginner-tensorflowjs-examples-in-javascript/saved-models/machine2learn/m2l03.json

Then click the green buttons (Prep, Compile, Train) and finally the "Test/Predict" button.

Note: Do not click the "Define Model" button as that will run a predefined model not the generated model.

The default predict of 5.32 shoud get a response of about 13.64

Tensorflowjs Machine Learning Web App Template

As simple as possible template. Note that for simplicity this has minimal CSS

Data:

xTrainingData:	1.20, 2.10, 3.40, 4.20
yTrainingTarget:	5.40, 7.20, 9.80, 11.40

Pre-Set Values to Train Data:

Learning Rate:
Samples per batch:
Epochs: (# of batches to run)
Validation Split :

Compile or Load Model:

Prep Data			Import / Export
Compile Model:
Train Model:		Epochs run:
Test Trained Model with New Data:	New Data:	5.32		Shape:

...