MNIST PyTorch:3.2 MNIST数据集手写数字识别
3.2 MNIST数据集手写数字识别
![MNIST手寫辨識(Pytorch version)](https://i0.wp.com/api.multiavatar.com/MNIST%E6%89%8B%E5%AF%AB%E8%BE%A8%E8%AD%98%28Pytorch+version%29.png?apikey=viVnb6N20jclO8)
MNIST手寫辨識(Pytorch version)
https://hackmd.io
接著將我們的MNIST的大小輸出,可看到我們的MNIST的training data有60000張,而每張大小是28乘28。 接著利用matplotlib將MNIST的圖片輸出,由於我想一次看 ...
![examplesmnistmain.py at main · pytorchexamples](https://i0.wp.com/api.multiavatar.com/examplesmnistmain.py+at+main+%C2%B7+pytorchexamples.png?apikey=viVnb6N20jclO8)
examplesmnistmain.py at main · pytorchexamples
https://github.com
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. - examples/mnist/main.py at main · pytorch/examples.
![MNIST — Torchvision main documentation](https://i0.wp.com/api.multiavatar.com/MNIST+%E2%80%94+Torchvision+main+documentation.png?apikey=viVnb6N20jclO8)
MNIST — Torchvision main documentation
https://pytorch.org
transform (callable, optional) – A function/transform that takes in a PIL image and returns a transformed version. E.g, transforms.RandomCrop.
![利用PyTorch建構MNIST數字分類器](https://i0.wp.com/api.multiavatar.com/%E5%88%A9%E7%94%A8PyTorch%E5%BB%BA%E6%A7%8BMNIST%E6%95%B8%E5%AD%97%E5%88%86%E9%A1%9E%E5%99%A8+-+%E6%96%BD%E5%A8%81%E9%8A%98%E7%A0%94%E7%A9%B6%E5%AE%A4.png?apikey=viVnb6N20jclO8)
利用PyTorch建構MNIST數字分類器
https://flag-editors.medium.co
只要你接觸過深度學習(deep learning),那一定對MNIST資料集不陌生。MNIST是一個經典的手寫數字資料集,包含了60000張訓練圖片及10000張測試圖片。
![MNIST 手寫數字辨識](https://i0.wp.com/api.multiavatar.com/MNIST+%E6%89%8B%E5%AF%AB%E6%95%B8%E5%AD%97%E8%BE%A8%E8%AD%98+-+iT+%E9%82%A6%E5%B9%AB%E5%BF%99.png?apikey=viVnb6N20jclO8)
MNIST 手寫數字辨識
https://ithelp.ithome.com.tw
MNIST 手寫數字辨識. Knock Knock! Deep Learning 系列第10 篇. pyliaorachel. 4 年前‧ 20260 瀏覽. 1. MNIST 是早在1998 年 ...
![MNIST — Torchvision 0.18 documentation](https://i0.wp.com/api.multiavatar.com/MNIST+%E2%80%94+Torchvision+0.18+documentation+-+Datasets.png?apikey=viVnb6N20jclO8)
MNIST — Torchvision 0.18 documentation
https://pytorch.org
transform (callable, optional) – A function/transform that takes in a PIL image and returns a transformed version. E.g, transforms.RandomCrop.
![MNIST Handwritten Digit Recognition in PyTorch](https://i0.wp.com/api.multiavatar.com/MNIST+Handwritten+Digit+Recognition+in+PyTorch.png?apikey=viVnb6N20jclO8)
MNIST Handwritten Digit Recognition in PyTorch
https://nextjournal.com
In this article we'll build a simple convolutional neural network in PyTorch and train it to recognize handwritten digits using the MNIST dataset. Training a ...
![MNIST — Torchvision 0.16 documentation](https://i0.wp.com/api.multiavatar.com/MNIST+%E2%80%94+Torchvision+0.16+documentation+-+Datasets.png?apikey=viVnb6N20jclO8)
MNIST — Torchvision 0.16 documentation
https://pytorch.org
transform (callable, optional) – A function/transform that takes in an PIL image and returns a transformed version. E.g, transforms.RandomCrop.
![Pytorch MNIST練習](https://i0.wp.com/api.multiavatar.com/Pytorch+MNIST%E7%B7%B4%E7%BF%92.png?apikey=viVnb6N20jclO8)
Pytorch MNIST練習
https://hackmd.io
To get the top K largest values in a tensor use x.topk(k). ... Make sure to invert the dictionary so you get a mapping from index to class as well ...