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kedevked/dog_breed.conv.py

Created April 28, 2019 17:09
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convolutional layers for dog breed classifier
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dog_breed.conv.py
model.add(Dense(input_shape=[224, 224, 3], units=16))
model.add(Conv2D(filters = 16, kernel_size=2, strides=1, padding ='valid', activation='relu'))
model.add(MaxPooling2D(pool_size = (2), strides=(2), padding ='valid'))
model.add(Conv2D(filters = 32, kernel_size=2, strides=1, padding ='valid', activation='relu'))
model.add(MaxPooling2D(pool_size = (2), strides=(2), padding ='valid'))
model.add(Conv2D(filters = 64, kernel_size=2, strides=1, padding ='valid', activation='relu'))
model.add(MaxPooling2D(pool_size = (2), strides=(2), padding ='same'))
model.add(GlobalAveragePooling2D())
model.add(Dense(units=133, activation='softmax'))
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