In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of artificial neural network (ANN), most commonly applied to analyze visual imagery.[1] CNNs are also known as Shift Invariant or Space Invariant Artificial Neural Networks (SIANN), based on the shared-weight architecture of the convolution kernels or filters that slide along input features and provide translation-equivariant responses known as feature maps. (credit wikipedia )
Description of the project
Our project delivers a high-quality innovative application for ingredient detection (fruits and vegetables) to help users find the best meals based on detected ingredients.
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