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I'm trying to use VanillaGradients for a single image, but I'm getting this warning
> UserWarning: Unsupported model architecture for VanillaGradients. The last two layers of the model should be: …
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Hi, Zhuling:
Your codes are very clear and easy to follow, however,when I run your codes in tfb-tutorial, I find that in the Uncertainty CNN part, there are following errors:
Model: "model_1"
_____…
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I noticed your threshold version:
trelu(x, theta=1) = x > theta ? x : 0
and I certainly like the simplicity of it and ReLU.
I'm sure you're open to new functions (I could provide a PRs), but …
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### 🚀 The feature, motivation and pitch
Oscillating activation functions enable the neurons to learn the XOR function without manual feature engineering. With this kind of activation function, a si…
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**Bug Description**
I´m trying to convert a saved model to oonx file with this command line
"python -m tf2onnx.convert --saved-model "input path" --output "output path My_Class_Model.onnx" --opset …
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### Issue Type
Bug
### Source
pip (mct-nightly)
### MCT Version
PR #1186
### OS Platform and Distribution
Linux Ubuntu 22.04
### Python version
3.10
### Describe the issu…
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Here I'm gonna kickstart first iteration of notebook for neural nets with numpy and scipy following:
- *instruction*, 30m: crash course in neural networks
+ along with live demo in Numpy
…
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consider a neuron:
![image](https://user-images.githubusercontent.com/18999283/33927241-bcc36c30-dff6-11e7-8c4c-0a7ede4d326f.png)
Now, the value of Y can be anything ranging from -inf to +inf. The n…
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Hello, Alexey!
Do you have plans to implement such feature, so it will be possible to visualise what the network has learnt, or which parts of an input image are most characteristic of certain class?…
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The code is a bit messy for now. Stuff that should be done:
- [x] Get the PSF scripts out of this github
- [x] Simplify the treatment of activation functions
- [x] Allow to choose a cost fct easi…