TensorFlow.NET introduction to machine learning [5] handwritten digit recognition (MNIST) using neural network
Starting from this article, I finally have to do some serious work. There are preparations ahead. This time we want to solve the classic problem of machine learning, MNIST handwritten numeral recognition.
First, let's introduce the data set. Please first unzip: TF_Net\Asset\mnist_png.tar.gz file
The folder includes two folders: training and val ...
Added by flaquito on Tue, 28 Dec 2021 09:16:09 +0200
PyTorch -- handwritten numeral recognition
PyTorch learning -- handwritten numeral recognition
MNIST dataset, which contains 70000 28 × 28 handwritten numeral data set, which is divided into 60000 training samples and 10000 test samples.
Ⅰ. data reader
import torch
from torch import nn
from torch import optim
from torch.nn.parameter import Parameter
import ...
Added by simcoweb on Sat, 18 Dec 2021 15:22:35 +0200
Ten kinds of animals and fruits were identified by LeNet
Introduction: ※ the classical LeNet deep learning network can complete the requirements of Intelligent Vision Group for the classification of moving items in smart car competition. Although there will be five vehicles in the actual competition, the identification and positioning of small categories can still be completed by using LeNet. Only us ...
Added by wescrock on Thu, 16 Dec 2021 21:00:45 +0200