Python

Search

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

Search

PYTHON

keras.layers.simplernn

ADD CONTENT