model building

model_ckpt = ModelCheckpoint('BrailleNet.h5',save_best_only=True)
reduce_lr = ReduceLROnPlateau(patience=8,verbose=0)
early_stop = EarlyStopping(patience=15,verbose=1)

entry = layers.Input(shape=(28,28,3))
x = layers.SeparableConv2D(64,(3,3),activation='relu')(entry)
x = layers.MaxPooling2D((2,2))(x)
x = layers.SeparableConv2D(128,(3,3),activation='relu')(x)
x = layers.MaxPooling2D((2,2))(x)
x = layers.SeparableConv2D(256,(2,2),activation='relu')(x)
x = layers.GlobalMaxPooling2D()(x)
x = layers.Dense(256)(x)
x = layers.LeakyReLU()(x)
x = layers.Dense(64,kernel_regularizer=l2(2e-4))(x)
x = layers.LeakyReLU()(x)
x = layers.Dense(26,activation='softmax')(x)

model = Model(entry,x)