Latte is a convolutional neural network (CNN) inference engine written in C and uses AVX to vectorize operations. The engine runs on Windows 10, Linux and macOS Sierra.
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Updated
Jun 25, 2018 - C
Latte is a convolutional neural network (CNN) inference engine written in C and uses AVX to vectorize operations. The engine runs on Windows 10, Linux and macOS Sierra.
CXXNET to Caffe model conversion
Calculates the complexity of a caffe network
Scripts for iterative training with multiple models and datasets using Caffe framework.
Face Recognition in Caffe using different VGGNet architectures on ColorFeret and LFW datasets
API to modify existing caffe nets for transfer learning
Deploy Neural network visualizer and analyzer locally on local linux
PING Project at ESILV : Goalkeeper recognition with pre-trained neural network (caffe model).
Object detection with deep learning and OpenCV
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