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 vote352 views1 answer
Django create token for user
Python
29 votes317 views3 answers
Print no new line python
Python
4 votes338 views4 answers
How to change django admin text
Python Django
0 vote336 views1 answer
Kable column names
Python
0 vote300 views1 answer
Python remove .0
Python
0 vote309 views1 answer
Boxplot groupby pandas
Python
4 votes331 views3 answers
Display prime numbers between two intervals in python
Python
21 votes301 views6 answers
Pygame install
Python
2 votes326 views2 answers
Conda create jupyter kernel
Python
-1 vote325 views2 answers
Generate bar plot python
Python