Minimal Nn
A minimal implementation of neural network for MNIST experiment. Used as an exercise to help understanding Backpropagation by implementing it in NumPy.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Dann_py3 | 298 | 2 years ago | 2 | mit | Python | |||||
| python 3 pytorch implementation of DANN | ||||||||||
| Deep Learning From Scratch | 250 | 5 years ago | 3 | mit | Jupyter Notebook | |||||
| Six snippets of code that made deep learning what it is today. | ||||||||||
| Deeplearning | 120 | 10 months ago | 1 | mit | Jupyter Notebook | |||||
| Deep Learning From Scratch | ||||||||||
| Minimal Nn | 73 | 3 months ago | Python | |||||||
| A minimal implementation of neural network for MNIST experiment. Used as an exercise to help understanding Backpropagation by implementing it in NumPy. | ||||||||||
| Excitationbp | 59 | 5 years ago | 5 | Jupyter Notebook | ||||||
| Visualizing how deep networks make decisions | ||||||||||
| Domain_adaptation | 50 | 6 years ago | Python | |||||||
| this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_ganin15.pdf).And i realized it on mnist. | ||||||||||
| Grad Cam Pytorch | 44 | 4 years ago | 3 | Jupyter Notebook | ||||||
| Class Activation Map(CAM) with Pytorch | ||||||||||
| Openset Da | 41 | 5 years ago | 5 | Python | ||||||
| Code for 'Open Set Domain Adaptation by Backpropagation' | ||||||||||
| Tssl Bp | 26 | 3 years ago | 1 | mit | Python | |||||
| Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks. | ||||||||||
| Feedback Alignment Pytorch | 23 | 10 months ago | 1 | Python | ||||||
| Implementation of feedback alignment learning in PyTorch | ||||||||||
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Python
Network
Neural Network
Neural
Mnist
Backpropagation