Reuction operations Reduction operations A reduction operations on a tensor is an operation that reduces the number of elements contained within the tensor. Tensors give us the ability to manage out data. Reduction operations allow us to perform operati
1 import numpy as np 2 import pandas as pd 3 import matplotlib.pyplot as plt 4 from scipy.io import loadmat 5 from scipy.optimize import minimize 6 def load_data(path): 7 data=loadmat(path) 8 X=data['X'] 9 y=data['y']10
我有一个任意形状的numpy数组,例如： a = array([[[ 1, 2], [ 3, 4], [ 8, 6]], [[ 7, 8], [ 9, 8], [ 3, 12]]]) a.shape = (2, 3, 2) 和argmax在最后一个轴上的结果： np.argmax(a, axis=-1) = array([[1, 1, 0],
语法知识 argmax – 返回指定维度上最大值的索引 equal – 比较给定的两个值是否一致，支持广播 cast – 把布尔值转换成0 1 reduce_mean --求加和平均 … import tensorflow as tf """ 给出样本集的预测分类与实际分类（独热编码） 评估准确率 """ y = tf.constant([[0, 0,
