The complexity of convolutional neural networks (CNN), the deep learning architecture commonly used ... it means that the model must be loaded on the graphics card or some other parallel ...

Deep neural ... The CNN uses fully connected layers to encode the feature maps into a single-dimensional vector of numerical values. Finally, a classifier machine learning model maps the encoded ...

Deep neural ... The CNN uses fully connected layers to encode the feature maps into a single-dimensional vector of numerical values. Finally, a classifier machine learning model maps the encoded ...

To these ends, DeePhi has produced two separate FPGA based deep learning accelerator architectures. The first is Aristotle (below), which is aimed at convolutional neural network (CNN ... architecture ...