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→Set Up
This method would likely rely on a [https://en.wikipedia.org/wiki/Convolutional_neural_network convolutional neural network (CNN)] to classify HTML elements present in web page screenshots. Implementation could be achieved by combining the VGG16 model or ResNet architecture with batch normalization to increase accuracy in this context.
====Set Up====
*Possible Python packages for building CNN: TensorFlow, PyTorch, scikit
*Current dataset: <code>The File to Rule Them All</code>, contains information of 160 accelerators (homepage url, found cohort url etc.)
** We will use the data of 121 accelerators, which have cohort urls found, for training and testing our CNN algorithm
