A deep learning framework that allows supervised feedforward neural networks to be trained and applied to a variety of problems. Cuurently allows the implementation of Fully-Connected (Dense), Convolutional and Pooling layers, utilising either Logistic Sigmoid or ReLU activation functions.
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A deep learning framework that allows supervised feedforward neural networks to be trained and applied to a variety of problems.
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Sam-Armstrong/Pulsar-Deep-Learning-Framework
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A deep learning framework that allows supervised feedforward neural networks to be trained and applied to a variety of problems.
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