I hereby claim:
- I am alrawi on github.
- I am alrawi (https://keybase.io/alrawi) on keybase.
- I have a public key whose fingerprint is 20C5 748D 13F0 484D DDB6 D35C F02C D700 CA5B 3FAB
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
| from keras.models import Sequential | |
| from keras.layers.normalization import BatchNormalization | |
| from keras.layers.core import Dense, Activation | |
| import numpy as np | |
| import tensorflow as tf | |
| from keras import backend as K | |
| data = np.random.random((100000, 100)).astype(np.float32) | |
| labels = np.random.randint(2, size=(100000, 1)).astype(np.int32) |
| I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally | |
| I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally | |
| I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally | |
| I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally | |
| I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally | |
| W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. | |
| W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. | |
| W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instruc |