digit_recognition's People
digit_recognition's Issues
合成数据中的n_class表示什么?
import numpy as np
from sklearn.model_selection import train_test_split
n_class, n_len, width, height = 11, 5, 28, 28
def generate_dataset(X, y):
X_len = X.shape[0]
X_gen = np.zeros((X_len, height, width*n_len, 1), dtype=np.uint8)
y_gen = [np.zeros((X_len, n_class), dtype=np.uint8) for i in range(n_len)]
# TODO: 随机取1~5个数字,并拼接成新的图片
y_gen = np.asarray([labels_1,labels_2,labels_3,labels_4,labels_5])
return X_gen, y_gen
X_raw_train, X_raw_valid, y_raw_train, y_raw_valid = train_test_split(X_raw,y_raw,test_size=20,random_state=0)
X_train, y_train = generate_dataset(X_raw_train, y_raw_train)
X_valid, y_valid = generate_dataset(X_raw_valid, y_raw_valid)
X_test, y_test = generate_dataset(X_raw_test, y_raw_test)
P5合成数据这问中,里面的n_class代表什么?为什么它的值是11?y_gen为什么是这样一个结构?我的理解是按目前的X_gen的结构,y_gen不是应该是一个(5,X_len)就可以了吗?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.