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The prominent cases about neural network based on PyTorch.

Home Page: https://pypi.org/project/perming/

License: Mozilla Public License 2.0

Jupyter Notebook 90.42% Python 9.58%
nerual-network pytorch deep-learning tensorboard jupyter-notebook

easy-pytorch's Introduction

easy-pytorch🔖

这是一个快速入门 PyTorch 框架的学习仓库,包括 PyTorch 的基本用法与常用模型的搭建等。

目录

名称(name) 数据集(datasets) 准确率(accuracy) 解释(explain)
PyTorch基础 / / PyTorch语法与概念
线性回归 / /
逻辑回归 MNIST 92.17%
前馈神经网络 MNIST 97.16% 前向传播
卷积神经网络 MNIST 98.8%
LeNet-5 MNIST 99.04% 用于银行柜机手写数字识别的CNN模型
循环神经网络 MNIST 97.01% 用于处理和预测时序数据
AlexNet CIFAR10 86.1% ImageNet比赛提出一个5层CNN模型
VGGNet CIFAR10 VGG-16: 92.23%
VGG-19: 91.99%
加深版的AlexNet
GoogLeNet CIFAR10 aux_logits=True: 86.99%
aux_logits=False: 85.88%
首次引入Inception结构
ResNet CIFAR10 89.89% 引入残差块
TensorBoard CIFAR10 / 多个CNN模型的对比
Object Detection VIDEOS / 基于YOLOv5s模型的目标检测

These cases were trained on NVIDIA GeForce MX250.

LICENSE

Mozilla Public License 2.0

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