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settings.json
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settings.json
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{
"metaTitle": "ASL Fingerspelling Model Tutorial",
"metaDescription": "Train ASL Fingerspelling ML Model using Tensorflowjs",
"name": "ASL Fingerspelling Tutorial 👋",
"theme": "",
"avatarImage": "images/ghc_logo_v4.svg",
"avatarImageAlt": "Grace Hopper Celebration",
"social": {
"github": "https://github.com/ahoak/asl-client-ml-tutorial",
"twitter": "https://twitter.com/amber_hoak"
},
"showDataVideo": false,
"trainTutorialSteps": [
{
"step": 1,
"description": "Load Data",
"helperText": "Load preprocessed data by pressing the button",
"name" : "loadData",
"readOnly": "true",
"imageLink": "instructions/loadData.png"
},
{
"step": 2,
"description": "Create and Configure Model",
"helperText": "creating a feed-forward model. We will use 5 layers with relu activation function. Function must return the model.",
"name": "createModel",
"readOnly": "false",
"imageLink": "instructions/createModel.png"
},
{
"step": 3,
"description": "Train Model",
"helperText": "edit function trainModel() by using the Tf.fit API. Set the following parameters: epochs, batchSize,validationData, callbacks. Hint, you may need to transform your data into tensors ",
"name" : "trainModel",
"readOnly": "false",
"imageLink": "instructions/trainModel.png"
},
{
"step": 4,
"description": "Download Model Files",
"helperText": "Click the button to download your shiney new model. We will use this in our webapp.",
"name" : "exportModel",
"readOnly": "true",
"imageLink": "instructions/exportModel.png"
}
],
"predictSteps": [{
"step": 1,
"description": "Import Model",
"helperText": "Import a pre-trained model to perform inference with."
}, {
"step": 2,
"description": "Extract and Process Joint Positions",
"helperText": "Extract the hand joint positions from within an image."
}, {
"step": 3,
"description": "Classify",
"helperText": "Run inference with the normalized joint positions to get a classification (ASL sign)."
}, {
"step": 4,
"description": "Run",
"helperText": "Run prediction on the model"
}]
}