image
所属分类：人工智能/神经网络/深度学习
开发工具：Python
文件大小：63KB
下载次数：23
上传日期：2018-01-03 19:02:41
上 传 者：
scutyz
说明： cifar 卷积神经网络 通过cnn识别图片，对神经网络进行训练，在识别cifar库
(convolutional neural network)
文件列表:
image (0, 2017-12-01)
image\.idea (0, 2017-12-01)
image\.idea\image.iml (398, 2017-12-01)
image\.idea\misc.xml (185, 2017-12-01)
image\.idea\modules.xml (262, 2017-12-01)
image\.idea\workspace.xml (12293, 2017-12-01)
image\__init__.py (0, 2017-08-30)
image\alexnet (0, 2017-08-30)
image\alexnet\BUILD (504, 2017-08-30)
image\alexnet\__init__.py (0, 2017-08-30)
image\alexnet\alexnet_benchmark.py (9076, 2017-08-30)
image\cifar10 (0, 2017-08-31)
image\cifar10\BUILD (1683, 2017-08-30)
image\cifar10\__init__.py (899, 2017-08-30)
image\cifar10\__pycache__ (0, 2017-08-31)
image\cifar10\__pycache__\cifar10.cpython-36.pyc (9946, 2017-08-31)
image\cifar10\__pycache__\cifar10_input.cpython-36.pyc (5971, 2017-08-31)
image\cifar10\cifar10.py (14656, 2017-08-30)
image\cifar10\cifar10_eval.py (5458, 2017-08-30)
image\cifar10\cifar10_input.py (10035, 2017-08-30)
image\cifar10\cifar10_input_test.py (2274, 2017-08-30)
image\cifar10\cifar10_multi_gpu_train.py (10648, 2017-08-30)
image\cifar10\cifar10_train.py (4503, 2017-08-30)
image\cifar10_estimator (0, 2017-08-30)
image\cifar10_estimator\__init__.py (0, 2017-08-30)
image\cifar10_estimator\cifar10.py (3841, 2017-08-30)
image\cifar10_estimator\cifar10_main.py (18423, 2017-08-30)
image\cifar10_estimator\cifar10_model.py (2717, 2017-08-30)
image\cifar10_estimator\cifar10_utils.py (5380, 2017-08-30)
image\cifar10_estimator\cmle_config.yaml (159, 2017-08-30)
image\cifar10_estimator\generate_cifar10_tfrecords.py (3843, 2017-08-30)
image\cifar10_estimator\model_base.py (7084, 2017-08-30)
image\imagenet (0, 2017-08-30)
image\imagenet\BUILD (566, 2017-08-30)
image\imagenet\classify_image.py (7744, 2017-08-30)
image\mnist (0, 2017-08-30)
image\mnist\BUILD (834, 2017-08-30)
image\mnist\__init__.py (0, 2017-08-30)
... ...
CIFAR-10 is a common benchmark in machine learning for image recognition.
http://www.cs.toronto.edu/~kriz/cifar.html
Code in this directory demonstrates how to use TensorFlow to train and evaluate a convolutional neural network (CNN) on both CPU and GPU. We also demonstrate how to train a CNN over multiple GPUs.
Detailed instructions on how to get started available at:
http://tensorflow.org/tutorials/deep_cnn/
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