Convolutional Neural Network (CNN) trained to classify 300 by 300 RGB images of fruit. Used one convolutional layer, adaptive max pooling and two linear layers with the Rectified Linear Unit (ReLU) activation function.
Loss and Accuracy changes over 50 epochs:
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nickwinsley/CNNFruitClassifier
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Convolutional Neural Network for classifying images of tomatoes, strawberries and cherries.
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