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1 Preface Hi, Hello, this is Dancheng, and today we introduce the classification of breast cancer based on convolution neural network. This is the subject of deep learning in medical image classification You can use it for graduation design Bi design help, problem opening guidance, technical solutions 🇶746876041 2 PREFACE Breast canc ...

Use VGG model to fight cat and dog import numpy as np import matplotlib.pyplot as plt import os import shutil,os import torch import torch.nn as nn import torchvision from torchvision import models,transforms,datasets import time import json # Determine whether there is a GPU device device = torch.device("cuda:0" if torch.cuda.is_available() ...

In this paper, MNIST data set is used for training, and the graphical method is used to show the difference between the input in CGAN and GAN, so as to help understand the operation process of CGAN 1, Principle As shown in the figure below, when we input noise z, we add an additional restriction condition, z and c to obtain the generated ...

Catalogue of series articles PyTorch Week 3 - nn.MaxPool2d, nn.AvgPool2d, nn.Linear, active layer PyTorch Week 3 - convolution PyTorch Week 3 -- container of nn.Module: Sequential, ModuleList, ModuleDice PyTorch Week 3 - model creation PyTorch Week 2 - Dataloader and Dataset PyTorch Week 1 preface In this section, the principle of gradie ...

t o r c n . n n \qquad torcn.nn torcn.nn is a modular interface specially desi ...

This note is based on the tensorflow-2 version and is contributed first code perhaps Download code (scientific Internet access may be required). What is image segmentation In the image classification task, the network assigns a label (or category) to each input image. However, suppose you want to know the shape of the object, which pixel belo ...

The previous article explained the logistic regression model of deep learning. This article will next talk about the vectorization of logistic regression and the basic code required for compilation.   1.sigmoid function:                                                       The sigmoid function can be compiled using python's math libraryH ...

1 data set introduction ShpaeNet is a common data set in the point cloud. It can complete the task of component segmentation, that is, the component knows the segmentation of large data in the point cloud, and also needs to segment its widgets. It includes a total of 16 categories, each of which can be divided into several sub categories (for ...

What do I knowMy WeChat official accountMy CSDNDownload this article source code + dataNeed help. Ctrl+D: favorite this page In this tutorial, you will learn how to use migration learning to classify images of cats and dogs through a pre training network. The pre training model is a saved network previously trained based on large data sets ...

MMdetection official Chinese document 1: reasoning on standard data sets using existing models MMDetection in Model Zoo It provides hundreds of detection models and supports a variety of standard data sets, including Pascal, VOC, COCO, Cityscapes, LVIS, etc. This document will describe how to use these models and standard data sets to run some ...