NPUsim: Full-Model, Cycle-Level, and Value-Aware Simulator for DNN Accelerators
-
Updated
Jan 2, 2025 - 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.
NPUsim: Full-Model, Cycle-Level, and Value-Aware Simulator for DNN Accelerators
TensorFlow Serving based on encrypted model, protect model files from being stolen | 基于加密模型的 TensorFlow Serving ,保护模型文件免于被盗取
NeuroSpector: Dataflow and Mapping Optimizer for Deep Neural Network Accelerators
Nebula: Deep Neural Network Benchmarks in C++
Convolution 3D cuDNN C++ implement demo 三维卷积的cuDNN实现样例 3次元畳み込みのcuDNN実装例
OpenCV python examples like miniprojects
🤖 Machine Learning course, ITMO University, 2019
A neural network project coded from scratch. With a model trained to classify English and Persian handwritten digits from images using C++ with Javascript Demo.
다층 퍼셉트론 MFC 구현 예제