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Search results for mnist backpropagation
backpropagation
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mnist
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22 search results found
Dann_py3
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298
python 3 pytorch implementation of DANN
Deep Learning From Scratch
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250
Six snippets of code that made deep learning what it is today.
Deeplearning
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120
Deep Learning From Scratch
Minimal Nn
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73
A minimal implementation of neural network for MNIST experiment. Used as an exercise to help understanding Backpropagation by implementing it in NumPy.
Excitationbp
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59
Visualizing how deep networks make decisions
Domain_adaptation
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50
this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/m i realized it on mnist.
Grad Cam Pytorch
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44
Class Activation Map(CAM) with Pytorch
Openset Da
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41
Code for 'Open Set Domain Adaptation by Backpropagation'
Tssl Bp
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26
Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
Feedback Alignment Pytorch
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23
Implementation of feedback alignment learning in PyTorch
Binarygan
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22
Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"
Mm Bp Snn
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21
Whitebox Part1
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16
In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Spikingtorch
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9
A pytorch implementation of spiking neural networks and backpropagation through spikes
Digit Recognition
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8
Training an ANN and a CNN to recognize handwritten digits using back-propagation algorithm on MNIST data-set
Mnist_neural_network
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8
An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.
Go Neural Network
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7
Modifiable neural network
Neural_network_from_scratch
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7
Neural network/Back Propagation implemented from scratch for MNIST.从零开始实现神经网络和反向传播算法,识别MNIST
Dann
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7
Unsupervised Domain Adaptation by Backpropagation
Mnist Ai Up
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6
Learning deep learning 😎 and neuroevolution 👾 ⭐
Dann
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5
Implementation of Unsupervised Domain Adaptation by Backpropagation (Y.Ganin & V.Lempitsky ICML'15)
Digit Recognition Ann
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5
Training an artificial neural network using back-propagation on MNIST dataset
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1-22 of 22 search results
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