Asapanna Rakesh INF800

## eda-lets-cook-in-ml.ipynb

      
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                INF800
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              November 8, 2019 17:27
            
              
                EDA-Lets-cook-in-ML.ipynb
              
          
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## tensorflow-lets-cook-in-ml.ipynb

      
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              November 8, 2019 17:31
            
              
                Tensorflow-Lets-Cook-in-ML.ipynb
              
          
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## multilayerperceptron-s4tf.ipynb

      
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              December 6, 2019 17:51
            
              
                MultiLayerPerceptron-s4tf.ipynb
              
          
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## io19-demo-3-differentiable-programming.ipynb

      
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              November 21, 2019 13:13
            
              
                io19-demo-3-differentiable-programming.ipynb
              
          
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## io19-demo-2-interoperability.ipynb

      
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              November 21, 2019 13:14
            
              
                io19-demo-2-interoperability.ipynb
              
          
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## io19-demo-1-swift-in-colab.ipynb

      
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              November 21, 2019 13:15
            
              
                io19-demo-1-swift-in-colab.ipynb
              
          
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## train-tensorflow-object-detection-api-in-colab.ipynb

      
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                / train-tensorflow-object-detection-api-in-colab.ipynb
            
            
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              January 3, 2020 13:55
            
              
                Train-Tensorflow-Object-Detection-API-in-Colab.ipynb
              
          
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## swift-keras-tflite-mlir.ipynb

      
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              January 4, 2020 01:21
            
              
                swift-keras-tflite-mlir.ipynb
              
          
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## Dockerfile
#FROM alpine:latest
#RUN apk add --no-cache --update python3.6

#WORKDIR /app

#COPY . /app
#RUN pip3 install -r requirements.txt

#EXPOSE 4000

## file.js

// modify the pre-trained mobilenet.
// freezes layers to train only the last couple of layers
async function getModifiedMobilenet()
{
  // freezes mobilenet layers to make them untrainable
  // just keeps final layers trainable with argument trainableLayers
  async function freezeModelLayers(trainableLayers,mobilenetModified)
  {
    for (const layer of mobilenetModified.layers)
	#FROM alpine:latest
	#RUN apk add --no-cache --update python3.6

	#WORKDIR /app

	#COPY . /app
	#RUN pip3 install -r requirements.txt

	#EXPOSE 4000

	// modify the pre-trained mobilenet.
	// freezes layers to train only the last couple of layers
	async function getModifiedMobilenet()
	{
	// freezes mobilenet layers to make them untrainable
	// just keeps final layers trainable with argument trainableLayers
	async function freezeModelLayers(trainableLayers,mobilenetModified)
	{
	for (const layer of mobilenetModified.layers)