ecs50_2dmodel.py

# 2 Boyutlu bir model olusturalim
from keras.models import Sequential
from keras.layers import Conv2D, Dense, Flatten, Dropout, BatchNormalization, MaxPooling2D
def get_model(no_inputs, no_outputs):
    m = Sequential()
    m.add(Conv2D(32,kernel_size=(5,5),strides=(1,1),activation='relu',input_shape=no_inputs))
    m.add(BatchNormalization())
    m.add(MaxPooling2D())
    m.add(Conv2D(32,kernel_size=(5,5),strides=(1,1),activation='relu'))
    m.add(BatchNormalization())
    m.add(MaxPooling2D())
    m.add(Conv2D(32,kernel_size=(5,5),strides=(1,1),activation='relu'))
    m.add(BatchNormalization())
    m.add(Conv2D(32,kernel_size=(5,5),strides=(1,1),activation='relu'))
    m.add(BatchNormalization())
    m.add(Conv2D(32,kernel_size=(5,5),strides=(1,1),activation='relu'))
    m.add(BatchNormalization())
    m.add(Flatten())
    m.add(Dense(256,activation='relu'))
    m.add(Dropout(0.2))
    m.add(Dense(no_outputs, activation="softmax"))
    
    return m