model = Sequential()
model.add(Conv1D(128, 3, activation='relu', input_shape=(20, 100)))
model.add(Conv1D(64, 3, activation='relu'))
model.add(Conv1D(32, 3, activation='relu'))
model.add(Flatten())
model.add(Dropout(0.2))
model.add(Dense(128, activation='sigmoid'))
model.add(Dropout(0.2))
#model.add(LSTM(32))
model.add(Dense(1, activation='sigmoid'))
model.summary()