import numpy as np import pandas as pd import matplotlib.pyplot as plt import tensorflow as tf from sklearn.preprocessing import StandardScaler In [2]: (x_train_all, y_train_all), (x_test, y_test) = tf.keras.datasets.cifar10.load_data() x_train_all.shape Out[2]: (50000, 32,...
CIFAR-10数据集是机器学习中的一个通用的用于图像识别的基础数据集,官网链接为:The CIFAR-10 dataset 下载使用的版本是: 将其解压后(代码中包含自动解压代码),内容为: 2 测试代码 测试代码公布在GitHub:yhlleo 主要代码及作用: 该部分的代码,介绍了如何使用TensorFlow在CPU和GPU上训练和评估卷积神经网络(convolutiona...
shape[0], 3, 32, 32) return data, labels def load_data(ROOT): """Loads CIFAR10 dataset. # Returns Tuple of Numpy arrays: `(x_train, y_train), (x_test, y_test)`. """ #dirname = 'cifar-10-batches-py' #origin = 'https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz...
load_local_cifar10.py from __future__ import absolute_importfrom __future__ import divisionfrom __future__ import print_functionimport osimport sysimport numpy as npfrom six.moves import cPicklefrom tensorflow.keras import backend as Kdef load_batch(fpath, label_key='labels'):"""Internal u...
"""Loads CIFAR10 dataset. # Returns Tuple of Numpy arrays: `(x_train, y_train), (x_test, y_test)`. """ # dirname = 'cifar-10-batches-py' # origin = 'https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz' # path = get_file(dirname, origin=origin, untar=True) ...
from tensorflow.keras.datasets import cifar10 #实时数据增强功能 from tensorflow.keras.preprocessing.image import ImageDataGenerator #显卡内存分配指令:按需分配 config = ConfigProto() config.gpu_options.allow_growth = True session = InteractiveSession(config=config) ...
parser.add_argument('--dataset_dir', dest='dataset_dir', default='cifar-10-batches-py\\', help='path of the dataset') parser.add_argument('--model_dir', dest='model_dir', default='model\\LeNet_model\\', help='path to saving/restoring model') ...
no module named cifar10与no modulw named cifar10_input,这是因为你需要下载一个tensorflow 的models,具体链接放在这里https://github.com/tensorflow/models/tree/r1.13.0,新的tensorflow由于变成2.x版了,所以没有models这个包,我这里用的是19年的branch。
1、与MNIST 数据集中目比, CIFAR-10 真高以下不同点 3、CIFAR-10 数据集的数据文件名及用途 CIFAR-10的下载 CIFAR-10的简介 官网链接:The CIFAR-10 dataset CIFAR-10是一个更接近普适物体的彩色图像数据集。CIFAR-10 是由Hinton 的学生Alex Krizhevsky 和Ilya Sutskever 整理的一个用于识别普适物体的小型数...
(y_reshape, depth=10)#训练数据所需的one-hot编码22returnx_reshape, y_onehot232425#create data_set26train_db =tf.data.Dataset.from_tensor_slices((x, y))27train_db = train_db.shuffle(1000).map(pre_process).batch(128)2829test_db =tf.data.Dataset.from_tensor_slices((x_test, y_test...