text_plain_output_1.png
from keras.layers import Dense

from keras.models import Sequential

model_1 = Sequential()
model_1.add(Dense(25, input_dim=20, activation='relu'))
model_1.add(Dense(25, activation='relu'))
model_1.add(Dense(4, activation='softmax'))
model_1.summary()