原创 python matplotlib畫圖 1

import numpy as np import matplotlib.pyplot as plt # Compute the x and y coordinates for points on sine and cosine cu

2020-07-01 16:04:50

原创 python numpy 1

import numpy as np a = np.array([1, 2, 3]) # Create a rank 1 array print(type(a)) # Prints "<class 'nump

2020-07-01 16:04:50

原创 tensorflow mnist 1

import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data import keras.backend.tensorflow_bac

2020-07-01 16:04:50

原创 opencv python播放視頻和保存視頻

# -*- coding: utf-8 -*- import numpy as np import cv2 def playVideo(videoFile): cap = cv2.VideoCapture(videoFile)

2020-07-01 16:04:50

原创 Python OpenCV version

#!/usr/bin/env python ''' prints OpenCV version Usage: opencv_version.py [<params>] params: --build:

2020-07-01 16:04:50

原创 tensorflow mnist 2

from tensorflow.examples.tutorials.mnist import input_data import tensorflow as tf import keras.backend.tensorflow_bac

2020-07-01 16:04:50

原创 python opencv畫圖

import numpy as np import cv2 def drawPic(): img=np.zeros((512,512,3), np.uint8) # Draw a diagonal blue line with

2020-07-01 16:04:50

原创 keras Classifier 分類

import numpy as np np.random.seed(1337) # for reproducibility from keras.models import Sequential from keras.layers i

2020-07-01 16:04:50

原创 python線性迴歸 1

# -*- coding: utf-8 -*- import numpy as np from sklearn import linear_model from sklearn.linear_model import LinearReg

2020-07-01 16:04:50

原创 tensorflow 1

import tensorflow as tf import numpy as np import matplotlib.pylab as plt def tfDemo1(): #create data x_data = np.r

2020-07-01 16:04:50

原创 mxnet mnist

import numpy as np import os import urllib import urllib.request import gzip import struct import matplotlib.pyplot as

2019-10-26 03:25:37

原创 tesorflow 1

# -*- coding: utf-8 -*- import numpy as np import tensorflow as tf from sklearn.datasets import load_digits from skle

2019-10-26 03:25:37 1

原创 mxnet mnist 2

import mxnet as mx import numpy as np import logging logging.getLogger().setLevel(logging.INFO) fname = mx.test_utils

2019-10-26 03:25:37

原创 tensorflow 2

import tensorflow as tf import numpy as np def test1(): #create data x_data=np.random.rand(100).astype(np.flo

2019-10-26 03:25:37

原创 fuzzy cmeans

from __future__ import division, print_function import numpy as np from numpy.linalg import cholesky import matplotlib

2019-10-26 03:25:37