ts-cls-model.py

model = keras.Sequential()
model.add(
    keras.layers.Bidirectional(
      keras.layers.LSTM(
          units=128,
          input_shape=[X_train.shape[1], X_train.shape[2]]
      )
    )
)
model.add(keras.layers.Dropout(rate=0.5))
model.add(keras.layers.Dense(units=128, activation='relu'))
model.add(keras.layers.Dense(y_train.shape[1], activation='softmax'))

model.compile(
  loss='categorical_crossentropy',
  optimizer='adam',
  metrics=['acc']
)