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Prompt 1
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Create a webpage to train a single neuron. 
Include a chapter of introduction about linear 
regession and train one neuron for linear regression. 
Also include a chapter of discussion about TensorFlow 
for javascript, and then a button to load the libraries for further processsing.

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Prompt 2
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In chapter 1, draw a picture of one neuron with 
inputs and one output. Add easy-to-understand example to explain the model.

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Prompt 3
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In chpater 2, include libraries for defining and 
training models, and the library 
for web browser visualization. Use the early versions.

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Prompt 4
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In chapter 2, add a button at the end with title 
"Run". When click on it, add javscript code to 
include those two libraries. They will be used later.


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Prompt 5
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Add a chapter of discussion about the data from 
https://storage.googleapis.com/tfjs-tutorials/carsData.json 
and a button to load the dataset. 

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Prompt 6
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Also include a chapter of visualization of the 
dataset,  and select Miles_per_gallon:value and 
Horsepower:value for training.

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Prompt 7
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 Include a chapter to use TensorFlow to define the 
artificial neural netowor model, and diplay a 
summary the model. 

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Prompt 8
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Include a chapter of preparation of training set, 
and visualize the inputs and the label. 

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Prompt 9
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Include a chapter of the progress of the training 
of the model. Include a chapter of preparation of 
testing dataset and its visulization of the first 
10 values. 

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Prompt 10
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Include a chapter of the confusion matrix.