Keras conv2d batchnorm

# import BatchNormalization
from keras.layers.normalization import BatchNormalization

# instantiate model
model = Sequential()

# we can think of this chunk as the input layer
model.add(Dense(64, input_dim=14, init='uniform'))
model.add(BatchNormalization())
model.add(Activation('tanh'))
model.add(Dropout(0.5))

# we can think of this chunk as the hidden layer    
model.add(Dense(64, init='uniform'))
model.add(BatchNormalization())
model.add(Activation('tanh'))
model.add(Dropout(0.5))

# we can think of this chunk as the output layer
model.add(Dense(2, init='uniform'))
model.add(BatchNormalization())
model.add(Activation('softmax'))

# setting up the optimization of our weights 
sgd = SGD(lr=0.1, decay=1e-6, momentum=0.9, nesterov=True)
model.compile(loss='binary_crossentropy', optimizer=sgd)

# running the fitting
model.fit(X_train, y_train, nb_epoch=20, batch_size=16, show_accuracy=True, validation_split=0.2, verbose = 2)

Source: stackoverflow.com

Similar codes

0 vote244 views1 answer
Random night stars with python turtle
Python
2 votes245 views3 answers
Scatter plot actual vs predicted python
Python
0 vote259 views1 answer
Settings.debug django
Python Django
0 vote252 views1 answer
"jupyter (notebook OR lab)" ipynb "not trusted"
Python
0 vote258 views1 answer
Python put console window on top
Python
0 vote236 views1 answer
Specify dtype when creating array
Python
1 vote264 views1 answer
Django ModelChoiceField value not id
Python Django
54 votes356 views2 answers
How to run django requirement.txt
Python Django
0 vote229 views1 answer
Python change comma to dot
Python
0 vote243 views1 answer
Change python 3.5 to 3.6 ubuntu
Python