Daniel Belotto

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Our research focuses on a new data flow architecture in neural network training called Continuous Neural Network Learning (CNNL) whose main objective is the reduction of data required to train a neural network. In real-world applications, much of the raw data used in deep learning algorithms do not have a large labeled datasets readily available for(More)
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