QA Official

keras Multi-classification Some Function Parameter Settings

https://qaofficial.com/post/2019/03/28/23480-keras-multi-classification-some-function-parameter-settings.html 2019-03-28
use Lenet-5 to identify Mnist data set as an example: 采用下载好的Mnist数据压缩包转换成PNG图片数据集,加载图片采用keras图像预处理模块中的ImageDataGen

keras Solves Multi-label Classification Problem

https://qaofficial.com/post/2019/03/28/23401-keras-solves-multi-label-classification-problem.html 2019-03-28
Multi-Class Classification Problem: The multi-classification problem is relative to the two-classification problem (typical 0-1 classification), which means that the total number of categories exceeds two. For example, the total number of labels for handwritten numeral recognition mnist is 10, and the label of each sample is one of these 10. multi-label classification problem: multi-label classification (or multi-label classification) refers to the number of labels for a sample is more than

keras Solves Multi-label Classification Problem

https://qaofficial.com/post/2019/03/28/23501-keras-solves-multi-label-classification-problem.html 2019-03-28
Multi-Class Classification Problem: The multi-classification problem is relative to the two-classification problem (typical 0-1 classification), which means that the total number of categories exceeds two. For example, the total number of labels for handwritten numeral recognition mnist is 10, and the label of each sample is one of these 10. multi-label classification problem: multi-label classification (or multi-label classification) refers to the number of labels for a sample is more than

keras Use vgg16 for Ten-Class Model Training

https://qaofficial.com/post/2019/03/28/23528-keras-use-vgg16-for-ten-class-model-training.html 2019-03-28
import module import os import numpy as np import tensorflow as tf import random import seaborn as sns import matplotlib.pyplot as plt from keras.models import Sequential, Model from keras.layers import Dense, Dropout, Activation, Flatten, Input from keras.layers.convolutional import Conv2D, MaxPooling2D from keras.optimizers import RMSprop, Adam, SGD from keras.preprocessing import image from keras.preprocessing.image import ImageDataGenerator from keras.utils import np_utils from keras.applications.vgg16 import VGG16, preprocess_input from sklearn.model_selection import train_test_split read picture function

keras-Based Image Multi-Classification-flower

https://qaofficial.com/post/2019/03/28/23425-keras-based-image-multi-classification-flower.html 2019-03-28
1. Define Model lenet.py from keras.models import Sequential from keras.layers.convolutional import Conv2D from keras.layers.convolutional import MaxPooling2D from keras.layers.core import Activation from keras.layers.core import Flatten from keras.layers.core import Dense from keras import backend as K class LeNet: @staticmethod def build(width, height, depth, classes): model = Sequential() inputShape = (height, width, depth) # using "channels first",(样本数,通道数,行

python machine learning library sklearn-multi-class, multi-label, multi-output

https://qaofficial.com/post/2019/03/28/23444-python-machine-learning-library-sklearn-multi-class-multi-label-multi-output.html 2019-03-28
Full Stack Engineer Development Manual (by Luan Peng) python Data Mining Series Tutorial Multiclass classification Multi-Class Classification: It means that one classification task needs to classify more than two classes of data.For example, classify a series of pictures of oranges, apples or pears.Multi-category classification assumes that each sample has and only has one label: a fruit can be classified as apple or pear, but cannot be classified into two categories

use BCELoss to solve the Multi-label problem

https://qaofficial.com/post/2019/03/28/23476-use-bceloss-to-solve-the-multi-label-problem.html 2019-03-28
class torch.nn.BCELoss(weight=None, size_average=True)[source] Calculate the binary cross entropy between target and output.loss(o,t)=−1n∑i(t[i]log(o[i])+(1−t[i])log(1−o[i])) loss(o,t)=-\frac{1}{n}\sum_i(t[i] log(o[i])+(1-t[i])

what is Tag, classification system

https://qaofficial.com/post/2019/03/28/23490-what-is-tag-classification-system.html 2019-03-28
1、Tag总的来说是一种分类系统,有人把他称为大众分类(Folksonomy)。但是tag又不同于一般的目录结构的分类方法,首先tag能以较

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QA Official