Tzerochen的博客

原创 2021-11-12

-- coding: utf-8 -- @Time : 2018/9/26 19:16 @Author : Bing @FileName: temp.py import numpy as np import random def gen_line_data(sample_num=100): “”" y = 3x1 + 4x2 :return: “”" x1 = np.linspace(0, 9, sample_num) x2 = np.linspace(1, 10, sample_num) x3 =

原创 2021-10-26

原创 2021-10-19

import paddle from paddle.nn import Linear import paddle.nn.functional as F import os import numpy as np import matplotlib.pyplot as plt train_data0 = np.array(train_dataset[0][0]) train_label_0 = np.array(train_dataset[0][1]) train_dataset = paddle.vision

原创 Untitled7

import numpy as np import matplotlib.pyplot as plt x = 0 y = 1 step = 0.01 xx = np.zeros(1000) yy = np.zeros(1000) for i in range(1000): k0 = y - 2 * x / y y = 1.1 * y - 0.2 * x / y x = x + step k1 = y - 2 * x / y y = y + 0.5 * step *

原创 神经网络推导

原创 Untitled

import numpy as np a = np.array([1,1,1,1]) b = np.array([[1],[1],[1],[1]]) a+b array([[2, 2, 2, 2], [2, 2, 2, 2], [2, 2, 2, 2], [2, 2, 2, 2]]) import numpy as np a = np.array([1,1,1,1]) b = np.array([[1],[1],[1],[1]]) a+b c = np.arra