Created
July 19, 2021 07:11
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model = Sequential() | |
model.add(Conv2D(filters=32, kernel_size=(3,3),input_shape=(100,100,3), activation='relu', padding = 'same')) | |
model.add(MaxPooling2D(pool_size=(2, 2))) | |
model.add(Conv2D(filters=64, kernel_size=(3,3), activation='relu', padding = 'same')) | |
model.add(MaxPooling2D(pool_size=(2, 2))) | |
model.add(Conv2D(filters=64, kernel_size=(3,3), activation='relu', padding = 'same')) | |
model.add(MaxPooling2D(pool_size=(2, 2))) | |
model.add(Conv2D(filters=64, kernel_size=(3,3), activation='relu', padding = 'same')) | |
model.add(MaxPooling2D(pool_size=(2, 2))) | |
model.add(Conv2D(filters=64, kernel_size=(3,3), activation='relu', padding = 'same')) | |
model.add(MaxPooling2D(pool_size=(2, 2))) | |
model.add(Conv2D(filters=64, kernel_size=(3,3), activation='relu', padding = 'same')) | |
model.add(MaxPooling2D(pool_size=(2, 2))) | |
model.add(Flatten()) | |
model.add(Dense(256)) | |
model.add(Activation('relu')) | |
model.add(Dropout(0.5)) | |
model.add(Dense(len(breed_map))) | |
model.add(Activation('softmax')) | |
model.summary() |
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