broken keras code

from keras.models import Sequential, load_model
from keras.layers import Bidirectional, Dropout, Dense, LSTM
import numpy as np
import keras

print(keras.__version__)

SEGMENT_TIME_SIZE=10
N_FEATURES=10
N_CLASSES=10
N_HIDDEN_NEURONS=10

model = Sequential()
model.add(Bidirectional(LSTM(N_HIDDEN_NEURONS,
                        return_sequences=True,
                        activation="tanh",
                        input_shape=(SEGMENT_TIME_SIZE, N_FEATURES))))
model.add(Bidirectional(LSTM(N_HIDDEN_NEURONS)))
model.add(Dropout(0.5))
model.add(Dense(N_CLASSES, activation='sigmoid'))
model.compile('adam', 'binary_crossentropy', metrics=['accuracy'])

model.fit(np.random.rand(10, SEGMENT_TIME_SIZE, N_FEATURES), np.random.randn(10, N_CLASSES))


model.save('model.h5')
model = load_model('model.h5')