Fork of ROOT Repository for GSoC project
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Updated
Jul 18, 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.
Fork of ROOT Repository for GSoC project
My self Neural Network calculation and Backpropagation implementation in vanilla C++.
다층 퍼셉트론 MFC 구현 예제
A basic C++ neural network
Using the convolution neural network to classify the mnist image dataset.
Fork of browsermt/bergamot-translator. Experimental, unstable.
Automatically exported from code.google.com/p/neuralnethack
This repository provides a solution for estimating 3D positions using feature-based detection and deep learning model integrated with OpenCV's Deep Neural Network (DNN) and the Robot Operating System (ROS).
Computation using data flow graphs for scalable machine learning
Designed and developed a deep learning-based computer vision system for detecting driver drowsiness by analyzing behavioral indicators such as head, mouth, and eyelid movements.
A Deep Neural Network that is able to accurately mimic an XOR gate. The goal of the Deep Network is to classify the input patterns according to the XOR truth table.
Scan book shelfs in real-time to find your favorite books in seconds.
Compute Library for Deep Neural Networks (clDNN)
Implement a deep neural network from scratch with C++20
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Machine Learning and Neural Networks
Unified Detection System for Automatic, Real-Time, Accurate Animal Detection in Camera Trap Images from the Arctic Tundra - Master's thesis 2017