ecs50_model.py

# Keras modelimizi olusturalim
from keras.models import Sequential
from keras.layers import Dense, Flatten, Dropout, Conv1D, BatchNormalization

def get_model(no_inputs, no_outputs):
    m = Sequential()
    m.add(Conv1D(32,kernel_size=(5,),strides=(1,),activation='relu',input_shape=no_inputs))
    m.add(BatchNormalization())
    m.add(Conv1D(32,kernel_size=(5,),strides=(1,),activation='relu'))
    m.add(BatchNormalization())
    m.add(Conv1D(32,kernel_size=(5,),strides=(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