Turbot-DL入门教程篇-深度学习框架mxnet验证例子

Turbot-DL入门教程篇-深度学习框架mxnet验证例子

说明：

• 介绍如何在turbot-DL上深度学习框架mxnet验证例子

环境：

• Python 2.7.12

测试：

• 进入mxnet对应的目录

cd ~/dl/Mxnet/mxnet 

• 执行命令：

python example/image-classification/train_mnist.py

• 输出：

INFO:root:start with arguments Namespace(batch_size=64, disp_batches=100, gpus=None, kv_store='device', load_epoch=None, lr=0.05, lr_factor=0.1, lr_step_epochs='10', model_prefix=None, mom=0.9, monitor=0, network='mlp', num_classes=10, num_epochs=20, num_examples=60000, num_layers=None, optimizer='sgd', test_io=0, top_k=0, wd=0.0001)
INFO:root:Epoch[0] Batch [100]  Speed: 948.66 samples/sec   accuracy=0.777692
INFO:root:Epoch[0] Batch [200]  Speed: 1030.88 samples/sec  accuracy=0.915781
INFO:root:Epoch[0] Batch [300]  Speed: 1034.63 samples/sec  accuracy=0.931250
INFO:root:Epoch[0] Batch [400]  Speed: 983.33 samples/sec   accuracy=0.932031
INFO:root:Epoch[0] Batch [500]  Speed: 968.70 samples/sec   accuracy=0.943906
INFO:root:Epoch[0] Batch [600]  Speed: 1004.47 samples/sec  accuracy=0.940625
INFO:root:Epoch[0] Batch [700]  Speed: 990.10 samples/sec   accuracy=0.950313
INFO:root:Epoch[0] Batch [800]  Speed: 941.56 samples/sec   accuracy=0.951094
INFO:root:Epoch[0] Batch [900]  Speed: 992.14 samples/sec   accuracy=0.955000
INFO:root:Epoch[0] Train-accuracy=0.957770
INFO:root:Epoch[0] Time cost=64.217
INFO:root:Epoch[0] Validation-accuracy=0.963276
INFO:root:Epoch[1] Batch [100]  Speed: 942.83 samples/sec   accuracy=0.964728
INFO:root:Epoch[1] Batch [200]  Speed: 925.19 samples/sec   accuracy=0.962187

问题:

• 问题A： ImportError: No module named 'requests'
• 解决：安装requests模块

pip install requests

参考：

• https://github.com/dmlc/mxnet/tree/master/example
• http://mxnet.io/get_started/install.html
• http://mxnet.io/
• https://github.com/dmlc/mxnet
• http://blog.csdn.net/qq_25491201/article/details/51246458