嫉妒的虚荣

(in cs231n/classifiers/neural_net.py)from __future__ import print_functionfrom builtins import rangefrom builtins import objectimport numpy as npimport matplotlib.pyplot as pltfrom past.builtins import xrangeclass TwoLayerNet(object): """

Preprocessing# Load the raw CIFAR-10 data.cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)try: del X_train, y_train del X_test, y_test print('Clea

Preprocessingdef get_CIFAR10_data(num_training=49000, num_validation=1000, num_test=1000, num_dev=500): """ Load the CIFAR-10 dataset from disk and perform preprocessing to prepare it for the linear classifier. These are the same steps as we u

Setup & Download data首先是在相关下载作业的压缩包和数据集Preprocessing加载CIFAR10数据集Training data shape: (50000, 32, 32, 3)Training labels shape: (50000,)Test data shape: (10000, 32, 32, 3)Test labels sha...