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知识蒸馏算法_原理&综述 知识蒸馏算法_原理&综述
权重剪枝:结构化剪枝,整层整层地剪,整通道整通道地剪 通道剪枝:非结构化剪枝,一根树杈子,一根树杈子剪 加速卷积运算:将卷积运算转换成张量运算,这里面有很多卡脖子的技术,这也是MATLAB软件非常牛的关键,底层有很多数值运算的
2022-06-29
PyTorch_22_完整的模型验证套路 PyTorch_22_完整的模型验证套路
import torch import torchvision from PIL import Image from torch import nn image_path = "./images/deer.png" image = Ima
2021-11-22
PyTorch_21_利用GPU训练 PyTorch_21_利用GPU训练
利用GPU训练的三要素 train_gpu_1.py import torch import torchvision from torch.utils.tensorboard import SummaryWriter # fro
2021-11-21
PyTorch_20_完整的模型训练套路 PyTorch_20_完整的模型训练套路
train.py import torch import torchvision from torch.utils.tensorboard import SummaryWriter from model import TuDui fr
2021-11-20
PyTorch_19_网络模型的保存与读取 PyTorch_19_网络模型的保存与读取
model_save.py import torch import torchvision # 这个是没有经过训练的 from torch import nn vgg16 = torchvision.models.vgg16(pre
2021-11-19
PyTorch_18_现有模型的使用和修改 PyTorch_18_现有模型的使用和修改
import torchvision # train_data = torchvision.datasets.ImageNet("./dataset", split='train', download=True, #
2021-11-18
PyTorch_17_优化器 PyTorch_17_优化器
import torch import torchvision from torch import nn from torch.nn import Sequential, Conv2d, MaxPool2d, Flatten, Linear
2021-11-17
PyTorch_16_损失函数与反向传播2 PyTorch_16_损失函数与反向传播2
import torchvision from torch import nn from torch.nn import Sequential, Conv2d, MaxPool2d, Flatten, Linear from torch.u
2021-11-16
PyTorch_15_损失函数与反向传播1 PyTorch_15_损失函数与反向传播1
import torch import math from torch.nn import L1Loss from torch import nn inputs = torch.tensor([1, 2, 3], dtype=torch.
2021-11-15
PyTorch_14_nn_Sequential PyTorch_14_nn_Sequential
import torch from torch import nn from torch.nn import Conv2d, MaxPool2d, Linear, Sequential from torch.nn.modules.flatt
2021-11-14
PyTorch_13_神经网络-线性层及其他层介绍 PyTorch_13_神经网络-线性层及其他层介绍
import torch import torchvision from torch import nn from torch.nn import Linear from torch.utils.data import DataLoader
2021-11-13
PyTorch_12_神经网络-非线性激活 PyTorch_12_神经网络-非线性激活
import torch import torchvision from torch import nn from torch.nn import ReLU, Sigmoid from torch.utils.data import Dat
2021-11-12
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