Keras.layers.simplernn

inputs = np.random.random([32, 10, 8]).astype(np.float32)simple_rnn = tf.keras.layers.SimpleRNN(4)output = simple_rnn(inputs)  # The output has shape `[32, 4]`.simple_rnn = tf.keras.layers.SimpleRNN(    4, return_sequences=True, return_state=True)# whole_sequence_output has shape `[32, 10, 4]`.# final_state has shape `[32, 4]`.whole_sequence_output, final_state = simple_rnn(inputs)

Source: tensorflow.org

Similar codes

0 vote215 views1 answer
Face sentiment
Python
19 votes149 views2 answers
Python datetime string
Python
1 vote142 views1 answer
Mysql Unread result found
Python
-1 vote153 views1 answer
Global list python
Python
0 vote134 views1 answer
Email grabber python
Python
1 vote179 views1 answer
Django queryset first element
Python Django
-3 votes148 views2 answers
Python parse xml string
Python
0 vote190 views1 answer
Django form is onvalid
Python Django
0 vote176 views1 answer
Matplotlib giving error "OverflowError: In draw_path: Exceeded cell block limit"
Python
2 votes205 views5 answers
Swap keys and values in dictionary python
Python