Swish | Nothing but Net | iOS library
kandi X-RAY | Swish Summary
kandi X-RAY | Swish Summary
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Swish Examples and Code Snippets
Lines of Code : 11
License : No License
Copymodel = EfficientNet.from_pretrained("efficientnet-b0", advprop=True)
if advprop: # for models using advprop pretrained weights
normalize = transforms.Lambda(lambda img: img * 2.0 - 1.0)
else:
normalize = transforms.Normalize(mean=[0.485, def swish(features, beta=1.0):
# pylint: disable=g-doc-args
"""Computes the SiLU or Swish activation function: `x * sigmoid(beta * x)`.
beta : Hyperparameter for Swish activation function. Default value 1.0.
The SiLU activation function was def swish(x):
"""Swish activation function, `swish(x) = x * sigmoid(x)`.
Swish activation function which returns `x*sigmoid(x)`.
It is a smooth, non-monotonic function that consistently matches
or outperforms ReLU on deep networks, it is unb Community Discussions
Trending Discussions on Swish
QUESTION
I like to load a ML Model in a React-Native App.
I converted Keras model model.h5 to model.json and binary weight files using this command.
ANSWER
Answered 2021-May-25 at 15:19QUESTION
I am new to Prolog and using the SWISH SWI online PROLOG website. https://swish.swi-prolog.org/ I am trying a really basic program:
...ANSWER
Answered 2021-May-21 at 17:27If submit the goal
QUESTION
I would like to extract the derivatives of a Tensorflow model with respect to its input using autograph for speed, but for some reason autograph gives an error. Here is the function that I am using:
...ANSWER
Answered 2021-May-10 at 13:06The error comes from the fact that you are trying to write a value of None in a tf.TensorArray. You get this error because your gradient calculation outputs None because some operations that you are doing are not done inside the scope of the tf.GradientTape. You can read that answer for more details:
Answer to: "tensorflow differentiate only element of vector".
You need to slice your tensor in the scope of the GradientTape to get the actual gradient. One way to achieve this is the following:
QUESTION
My show result function for blackjack isn't working properly despite passing the correct argument in it which computes the winner of the game. I nested the function in the function for the deal button to test if it was working.
The specific computeWinner function:
...ANSWER
Answered 2021-May-08 at 03:04Just eyeballing the code here but you seem to be not returning anything from your computeWinner(). I added a return like so: return winner;. See if this is your expected output.
QUESTION
I trying to write a grammar that generates expresions. If I do not set a depth limit the recursion goes throw the last variable and be infinity. I do not know how to limit depth branching the tree recursion.
I try this:
...ANSWER
Answered 2021-Apr-24 at 17:14The problem is that you allow the expression to be evaluated recursively even if N <= 0, because while backtracking, the last rule is a viable option even if N becomes zero or even less. You need to rule that out in the last rule using N > 0.
Adding that to the code:
QUESTION
I am trying to use Prolog's argument mode indicators in the signature of my method (https://www.swi-prolog.org/pldoc/man?section=argmode).
Without the indicators, my function works as expected (eg. palindrome([1,2,1]) gives true):
ANSWER
Answered 2021-Apr-19 at 08:18Yes, wrong. You shouldn't be using them at all, in the code. Only in the comments.
+ is interpreted as a separate token:
QUESTION
I have two sequential networks (encoder network and decoder network). How can I use the sequential API to create the autoencoder model?
Please don't recommend using the functional API or explain the benefits of functional over sequential, because this is not the question here.
...ANSWER
Answered 2021-Mar-08 at 23:55You can use your models like they were layers:
QUESTION
I have a pretrained model which uses Swish (SiLU) activation:
...ANSWER
Answered 2021-Feb-26 at 11:29If you have to replace all the activations you are on the right path from the code snippet.
There is an issue with your code model.layers[i] = LeakyReLU(name=name). Using the name as a parameter will not work.
You can try the below code:
QUESTION
I'm trying to replace swish activation with relu activation in pretrained TF model EfficientNetB0. EfficientNetB0 uses swish activation in Conv2D and Activation layers. This SO post is very similar to what I'm looking for. I also found an answer which works for models without skip connection. Below is the code:
...ANSWER
Answered 2021-Feb-18 at 06:19Try this:
QUESTION
Recently I simplified a text-only game I was making:
Here is the code: ...ANSWER
Answered 2021-Feb-18 at 19:57You should define a class for your character, where you would store their current location and you can present choices based on the current location or history of actions that the character has taken. The Location class should contain the available actions you can make from that location and a function to present them when needed. This way, you will only need to define each room once.
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