Deep learning Ep. 5 : [New] Install Tensorflow with CUDA, CUDNN and Keres on Windows : https://www.youtube.com/watch?v=Rmjp1yFi9Ok

readme

1. Install CUDA v8.0 toolkit --> https://developer.nvidia.com/cuda-downloads
2. Install cuDNN v5.1 for CUDA 8.0 --> https://developer.nvidia.com/rdp/cudnn-download
3. Install GIT 64-bit -> https://git-scm.com/download/win
4. Install Anaconda3-4.2.0  --> https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86_64.exe
5. Open windows command terminal 
	- conda create -n tensorflow
	- activate tensorflow
	- pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.0.1-cp35-cp35m-win_amd64.whl 

6. Validate your installation (Open windows command terminal )
	- python
	- import tensorflow as tf
	- hello = tf.constant('Hello, TensorFlow!')
	- sess = tf.Session()
	- print(sess.run(hello))

7. Install Keras
	- git clone git://github.com/fchollet/keras.git
	- cd keras
	- python setup.py develop

8. Test Keras
	- cd ..
	- python test.py

Good bye !!!!

test.py

from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.optimizers import SGD
import numpy as np
 
data_dim = 100
nb_classes = 10
 
model = Sequential()
 
model.add(Dense(32, input_dim=data_dim,init='uniform'))
model.add(Activation('relu'))
model.add(Dropout(0.5))
model.add(Dense(64, input_dim=data_dim, init='uniform'))
model.add(Activation('relu'))
model.add(Dropout(0.5))
model.add(Dense(nb_classes, init='uniform'))
model.add(Activation('softmax'))
 
model.compile(loss='categorical_crossentropy',
              optimizer='sgd',  
              metrics=["accuracy"])
 
# generate dummy training data
x_train = np.random.random((1000, data_dim))
y_train = np.random.random((1000, nb_classes))
 
# generate dummy test data
x_test = np.random.random((100, data_dim))
y_test = np.random.random((100, nb_classes))
 
model.fit(x_train, y_train,
          nb_epoch=50,
          batch_size=128)
 
score = model.evaluate(x_test, y_test, batch_size=16)