Created
December 31, 2020 08:31
-
-
Save ianforme/70b51280561e7f162547182fe593646d to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| input = Input(shape=(224, 224, 3)) | |
| cnn1 = Conv2D(128, kernel_size=3, activation='relu')(input) | |
| cnn1 = Conv2D(128, kernel_size=3, activation='relu')(cnn1) | |
| cnn1 = Conv2D(128, kernel_size=3, activation='relu')(cnn1) | |
| cnn1 = MaxPool2D(pool_size=3, strides=2)(cnn1) | |
| cnn2 = Conv2D(128, kernel_size=3, activation='relu')(cnn1) | |
| cnn2 = Conv2D(128, kernel_size=3, activation='relu')(cnn2) | |
| cnn2 = Conv2D(128, kernel_size=3, activation='relu')(cnn2) | |
| cnn2 = MaxPool2D(pool_size=3, strides=2)(cnn2) | |
| cnn3 = Conv2D(256, kernel_size=3, activation='relu')(cnn2) | |
| cnn3 = Conv2D(256, kernel_size=3, activation='relu')(cnn3) | |
| cnn3 = Conv2D(256, kernel_size=3, activation='relu')(cnn3) | |
| cnn3 = MaxPool2D(pool_size=3, strides=2)(cnn3) | |
| cnn4 = Conv2D(512, kernel_size=3, activation='relu')(cnn3) | |
| cnn4 = Conv2D(512, kernel_size=3, activation='relu')(cnn4) | |
| cnn4 = Conv2D(512, kernel_size=3, activation='relu')(cnn4) | |
| cnn4 = MaxPool2D(pool_size=3, strides=2)(cnn4) | |
| dense = Flatten()(cnn4) | |
| dense = Dropout(0.2)(dense) | |
| dense = Dense(1024, activation='relu')(dense) | |
| dense = Dense(1024, activation='relu')(dense) | |
| output = Dense(1, activation='linear', name='age')(dense) | |
| model = Model(input, output) | |
| model.compile(optimizer=Adam(0.0001), loss='mse', metrics=['mae']) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment