![]() ImportError: cannot import name 'swish' from '' (C:\Users\FlamePrinz\Anaconda3\lib\site-packages\tensorflow\python\keras\activations. from keras import backend as K from import getcustomobjects from keras.layers import Activation class Swish (Activation): def init (self, activation, beta, kwargs): super (Swish, self).init (activation, kwargs) self.name 'swish' self.beta beta def swish (x): return (K.sigmoid (betax) x). It can be shown that Swish and GELU both are a smooth approximation of ReLU. GELU 8 is an another popular smooth activation function. Swish 7 is a non-linear activation function proposed by the Google brain team, and it shows some good improvement of ReLU. > 23 from import swishĢ4 from import tanh ReLU 6 are a few of them though they marginally improve performance of ReLU. ~\Anaconda3\lib\site-packages\tensorflow\keras\activations\_init_.py in Ģ1 from import softplusĢ2 from import softsign At the same time, it means that you can use any activation function name as a string. So, activation'elu' will be converted into tf. (). Paper is here to offer: here is how to put it into Keras. When keras receives tf. (10, activation'elu') it will go into the activation function module and will literally call activation function by its name if it is present there. According to the paper is new self-gate activation function is more powerful than relu, and can improves neural net's accuarcy by just simple replace relu with swish. According to the paper is new self-gate activation function is more powerful than relu, and can improves neural net's accuarcy by just simple replace relu with swish. ~\Anaconda3\lib\site-packages\tensorflow\keras\_init_.py in Activation-function-swish-in-Keras Google just release a paper to describe a new activation function: SWISH: A SELF-GATED ACTIVATION FUNCTION. > 6 from import SequentialĨ from import Dense, Activation, Dropout I get the following error: ImportError Traceback (most recent call last) I am trying to run the import statement: from import Sequential ![]() I am running a jupyter notebook from an Anaconda Prompt (Anaconda 3), and I am trying to use tensorflow keras. ![]()
0 Comments
Leave a Reply. |