yalipf的博客

3层神经网络下手写数字识别import sys, ossys.path.append(os.pardir) # 为了导入父目录的文件而进行的设定import numpy as npimport picklefrom dataset.mnist import load_mnistfrom common.functions import sigmoid, softmax#获取训练数据，训练标签，测试数据，测试标签#x_test.shape为(10000,784),y_test.shape为(

one_hot编码import numpy as npX=np.array([1,6,3,9,0])T = np.zeros((X.size, 10))#10种分类，故为10for idx, row in enumerate(T): row[X[idx]] = 1 print(T)[[0. 1. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.] [0. 0. 0. 1. 0. 0. 0. 0. 0. 0.]

梯度下降伪代码梯度下降Batch Gradient descentStochastic Gradient descentMin Batch Gradient descent梯度下降一般我们不特指的话，梯度下降就是指的是Batch Gradient descent。Batch Gradient descent一般来说，Batch Gradient descent 的伪代码如下：// ...