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.
#计算机科学#一款换脸工具。利用深度学习技术,识别并更换图片或视频中的人脸
#计算机科学#YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
#计算机科学#Learn OpenCV : C++ and Python Examples
#夺旗赛 (CTF) 和网络安全资源#使用自然语言处理和人工智能以及一些全自动解密/解码/破解工具。
#计算机科学#ONNX 是一种针对机器学习所设计的开放式的文件格式,用于存储训练好的模型。它使得不同的人工智能框架(如Pytorch、MXNet)可以采用相同格式存储模型数据并交互。
#计算机科学#A WebGL accelerated JavaScript library for training and deploying ML models.
#计算机科学#领先的deepfake软件(AI换脸)
#计算机科学#Microsoft Cognitive Toolkit (CNTK) 是一个开源工具包,用于商业级分布式深度学习。
#Awesome#machine learning and deep learning tutorials, articles and other resources
#计算机科学#An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
#自然语言处理#Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
#安卓#Vosk 是一个离线的语言识别工具。支持 Python, Java, Node.JS, C#, C++ ,能识别20+种语言,包括中文、英语、法语等。
#数据仓库#pix2code: Generating Code from a Graphical User Interface Screenshot
#计算机科学#The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
#计算机科学#A paper list of object detection using deep learning.
#计算机科学#Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... t...
#数据仓库#Techniques for deep learning with satellite & aerial imagery