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A method for designing neural networks optimally suited for certain tasks

MIT researchers find neural networks can be designed so they minimize the probability of misclassifying data input. To create a neural network that can achieve optimal performance on any dataset, one must use a specific building block, known as an activation function, in the network’s architecture.

Deep Learning Model May Help Expand Lung Screening Programs

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