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In [15]:

    
import tensorflow as tf
tf.logging.set_verbosity(tf.logging.ERROR)
print(tf.__version__)



In [16]:

    
from tensorflow import keras
print(keras.__version__)









    



2.1.6-tf



In [0]:

    
from tensorflow.keras.layers import Input, Flatten, Dense, LSTM, GRU, SimpleRNN, Bidirectional
from tensorflow.keras.models import Sequential, Model



In [18]:

    
main_input = Input(shape=(3, 3))
main_input









    Out[18]:





<tf.Tensor 'input_8:0' shape=(?, 3, 3) dtype=float32>



In [19]:

    
h = Dense(units=10)(main_input)
h









    Out[19]:





<tf.Tensor 'dense_8/BiasAdd:0' shape=(?, 3, 10) dtype=float32>



In [0]: