gpx33333的博客

PyTorch入门笔记PyTorch与TensorFlow的区别：PyTorch：动态计算图， Dynamic Computation GraphTensorFlow：静态计算图，Static Computation GraphPyTorch是一个基于Python的科学计算库，它有以下特点：类似于NumPy，但是它可以使用GPU可以用它定义深度学习模型，可以灵活地进行深度...

用Skip-thought模型训练词向量import torchimport torch.nn as nnimport torch.nn.functional as Fimport torch.utils.data as tudfrom collections import Counterimport numpy as npimport randomimport mathim...

用CNN在MNIST上做图像分类任务import numpy as npimport torchimport torch.nn as nnimport torch.nn.functional as Fimport torch.optim as optimfrom torchvision import datasets, transforms# 首先定义一个基于ConvNet的简单神...

CNN模型的迁移学习import numpy as npimport torchimport torch.nn as nnimport torchvisionfrom torchvision import datasets, transforms, modelsimport timeimport osimport copy# print("Torchvision Versio...

图片类型迁移from __future__ import divisionfrom torchvision import models, transformsfrom PIL import Imageimport argparseimport torchimport torchvisionimport torch.nn as nnimport numpy as npimport...