whenyd

from keras.layers import Conv2D, MaxPooling2D, Input, concatenate

def inception(input,
              filters_1x1,
              filters_3x3_reduce, filters_3x3,
              filters_5x5_reduce, filters_5x5,
              filters_pool_proj):
    """

    :param input:

whenyd

from keras.models import Model
from keras.layers import Input, Conv2D, MaxPooling2D, Conv2DTranspose

input_img = Input(shape=(224, 224, 3))
x = Conv2D(16, (3, 3), padding='same', activation='relu')(input_img)
x = MaxPooling2D((2, 2))(x)
x = MaxPooling2D((2, 2))(x)
x_8x = MaxPooling2D((2, 2))(x)
x_16x = MaxPooling2D((2, 2))(x_8x)
x_32x = MaxPooling2D((2, 2))(x_16x)