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analyticsindiamagazine/SampleKeras_NN.py

Created November 8, 2019 04:33
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SampleKeras_NN.py
model = tf.keras.models.Sequential([
tf.keras.layers.InputLayer(input_shape = 26),
tf.keras.layers.Dense(100, activation=tf.nn.relu),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(1),
])
model.compile(
optimizer=’adam’,
loss='mean_squared_logarithmic_error',
metrics=['RootMeanSquaredError'],
)
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