Graduate Coursework for EE569 (Digital Image Processing) at USC.
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Updated
Feb 3, 2017 - C++
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
Graduate Coursework for EE569 (Digital Image Processing) at USC.
Demitasse: SPMD Programing Implementation of Deep Neural Network Library for Mobile Devices(NeurIPS2016WS)
Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, "Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 40(2), pages 437 - 451, February 2018
This fork of the deep learning guide has been adapted to work with a variety of different inputs USB camera, GigEVision and RTP on the TX1 SoM. This is a a quick demonstrator and example for users of the Abaco Systems rugged Small Form Factor (SFF) TX1 boxed solutions. Please visit out website for more details.
Real time object detection demo App with Yolo on iOS based on tensorflow framework
Using the convolution neural network to classify the mnist image dataset.
Fork of ROOT Repository for GSoC project
Source code for face verification.
Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Deep Learning Arithmetic Library
Realtime Multi-Person Pose Estimation Dataset Transformer - tool for creating an augmented dataset
Deep neural network with multi-GPU support in a minimal fashion
Projet EA 3 STI INSA Centre Val de Loire sur Raspberry pi pour l'implementation de la vision par deep-learning avec les libs caffe,opencv,darknet
Unified Detection System for Automatic, Real-Time, Accurate Animal Detection in Camera Trap Images from the Arctic Tundra - Master's thesis 2017
Test program for OpenCV DNN object detection with RealSense camera
Automatically exported from code.google.com/p/neuralnethack
Implementation of an AlphaGo Zero paper in one C++ header file without any dependencies
DNN (DBN) C++ Implementation for MNIST