...预测。在这本笔记本中，YoloV3模型是通过在Colab上使用GPU进行迁移学习，使用暗网进行训练的。公司...
You only look once (YOLO) is a state-of-the-art, real-time object detection system. YOLOV3 is extremely fast and accurate compared with other algorithms, such as R_CNN, RetinaNet etc. It uses Darknet-53 as the backbone network and uses three scale predictions. In this Notebook a YoloV3 model was trained using Darknet by transfer learning with (2020-07-09, Jupyter Notebook, 31775KB, 下载0次)
美国有线电视新闻网对猫和狗进行分类的模型。
A CNN model that classifies Cats and Dogs. (2021-04-22, Jupyter Notebook, 93KB, 下载0次)
在移动设备上生成具有扩散模型的图像，以内部网GPU盒作为后端
Generating images with diffusion models on a mobile device, with an intranet GPU box as backend (2023-04-13, Jupyter Notebook, 223KB, 下载0次)
kmeans_pytorch是支持GPU的pytroch写的kmeans包,但官网文档叙述不清晰,重新加了点注释
Kmeans_ Pytorch is a kmeans package written by Pytorch that supports GPU, but the official website documentation is not clear and has been annotated again (2023-03-26, Jupyter Notebook, 43KB, 下载0次)
emnist pytorch LeNet有线电视新闻网gpu
emnist pytorch LeNet CNN gpu (2018-02-14, Jupyter Notebook, 6KB, 下载0次)