Keras 浅尝之MNIST手写数字识别
下面的代码算是Keras的Helloworld吧!利用MLP实现的MNIST手写数字识别:
ssh://shibotian@***.***.***.***:22/usr/bin/python -u /usr/local/shared_dir/local/ipython_shibotian/shibotian/code/kreas_test1/run.py Using gpu device 0: Tesla K40m Train on 42000 samples, validate on 18000 samples Epoch 0 0/42000 [==============================] - 1s - loss: 0.9894 - acc.: 0.7386 - val. loss: 0.4795 - val. acc.: 0.8807 Epoch 1 0/42000 [==============================] - 1s - loss: 0.5635 - acc.: 0.8360 - val. loss: 0.4084 - val. acc.: 0.8889 省略。。。。。 Epoch 98 0/42000 [==============================] - 1s - loss: 0.2838 - acc.: 0.9116 - val. loss: 0.1872 - val. acc.: 0.9418 Epoch 99 0/42000 [==============================] - 1s - loss: 0.2740 - acc.: 0.9163 - val. loss: 0.1842 - val. acc.: 0.9434 test set 0/10000 [==============================] - 0s - loss: 0.1712 - acc.: 0.9480 Process finished with exit code 0
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通过多线程提高代码的执行效率例子