Created
January 6, 2022 14:28
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Simple Model
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| model = tf.keras.models.Sequential() | |
| model.add(tf.keras.layers.Input(shape=(1433,))) | |
| model.add(tf.keras.layers.Dense(32, activation='relu')) | |
| model.add(tf.keras.layers.Dropout(0.5)) | |
| model.add(tf.keras.layers.Dense(7)) | |
| model.compile( | |
| optimizer='adam', | |
| loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), | |
| metrics=['accuracy']) | |
| history = model.fit(train_ds, epochs=20, validation_data=val_ds) |
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