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PyTorch MNIST Tutorial - Python Guides
Code: In the following code, we will import some torch modules from which we can get the CNN data. dts.MNIST() is used as a dataset.nn.Sequential() is used when we want to run certain layers sequentially.nn.MaxPool2d() is used as applied the input signal composed of input planes. outp = self.out(a) is used to get the output of the model.CNN = cnn() is used as an CNN model.print(CNN) is used to print a CNN model. from torchvision import datasets as dts from torchvision.transforms import ToTensor traindt = dts.MNIST( root = 'data', train = True, transform = ToTensor(), download = True, ) testdt = dts.MNIST( root = 'data', train = False, transform = ToTensor() ) import torch.nn as nn class cnn(nn.Module):…
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WeChat QR Code Scanner in OpenCV | LearnOpenCV
Now, without further ado, let’s dive into the code. pip install -r requirements.txt Download Code To easily follow along this tutorial, please download code by clicking on the button below.
