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# Convolutional Neural Networks From Scratch on Python - Quassarian Viper
Contents
[https://q-viper.github.io/2020/06/05/convolutional-neural-networks-from-scratch-on-python/](https://q-viper.github…
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We provide commented out code in main.cpp that breaks the algorithm, but suspect that the backpropagation itself is the culprit, not an edge case in particular.
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Please share your feedback on this group discussion by replying in this thread. Your contributions are important as we aim to identify gaps in knowledge, pinpoint collaborators who can help us bridge …
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**Working title**: Project *Noodles*
A draft for layers for the accountability tools for the next generation applications.
This is semi-layered architecture draft for better understanding of the …
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Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and…
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### **Chapter Three - DL Primer**
- In **3.2 Neural Networks**, we feel like we would've benefitted from more detail about weights, biases, and activation functions used by a Perceptron to create a…
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Hi there,
I am trying to define the activation of the last layer as the exponential function. If x is the input vector to a node in the last layer, the output of the node would be exp(w*x + b). Is …
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The frequently used PGD is like "delta += alpha*Loss.grad().sgn() ", but yours is "delta += delta.grad().sgn()" from line 258. I'm curious about why not compute the gradient on loss, but on delta. Th…
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I am using an M1 Pro Mac. I have installed the latest version of PyTorch provided by the official for MPS. Previously, when running other models on GPU, I did not encounter similar issues.
When runni…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
This feature will ensure hands-on approach helps users understand the mechanics of backpro…