model.py

# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the \"License\");
# you may not use this file except in compliance with the License.\n",
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an \"AS IS\" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense, Dropout


def sonar_model():
    model = Sequential()
    model.add(Dense(60, input_shape=(60,), activation='relu'))
    model.add(Dropout(0.2))
    model.add(Dense(30, activation='relu'))
    model.add(Dropout(0.2))
    model.add(Dense(1, activation='sigmoid'))

    # Use the Binary Cross Entropy loss function for a Binary Classifier.
    # https://www.tensorflow.org/api_docs/python/tf/keras/models/Sequential#compile
    model.compile(loss='binary_crossentropy',
                  optimizer='sgd',
                  metrics=['accuracy'])

    return model