Search
 
SCRIPT & CODE EXAMPLE
 

PYTHON

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)
Comment
PREVIOUS NEXT
Code Example
Python :: count decimal number python 
Python :: create a dictionary in python 
Python :: python tkinter getting labels 
Python :: print a formatted table using python 
Python :: find the most similar rows in two dataframes 
Python :: run powershell script in python 
Python :: python tar a directory 
Python :: np argmin top n 
Python :: set seed train test split 
Python :: python - remove columns with same name and keep first 
Python :: sort list by key 
Python :: list with numbers between 2 values by 
Python :: extend a list python 
Python :: python group by multiple aggregates 
Python :: exit in python 
Python :: create an array of n same value python 
Python :: how to calculate sum of a list in python 
Python :: access google transalte pandas 
Python :: python read in integers separated by spaces 
Python :: remove punctuation python string library 
Python :: python inner join based on two columns 
Python :: change string list to int list python 
Python :: python anagram finder 
Python :: print last exceuted query python 
Python :: how to change plot size in matplotlib 
Python :: how to clear ipython console 
Python :: python telethon 
Python :: pil normalize image 
Python :: how to connect an ml model to a web application 
Python :: django boilerplate command 
ADD CONTENT
Topic
Content
Source link
Name
9+8 =