from tensorflow.python.keras.models import Sequential

from tensorflow.python.keras.layers import Dense, Flatten, GlobalAveragePooling2D, Activation

import keras

from keras.optimizers import SGD

​

model = Sequential()

model.add(Dense(64, kernel_initializer='uniform', input_shape=(10,)))

model.add(Activation('softmax'))

model.compile(loss='mean_squared_error', optimizer=SGD(lr=0.01), metrics= ['accuracy'])*