Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
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Oct 19, 2017 - Python
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synthetic-gradients
Here are 9 public repositories matching this topic...
Tensorflow implementation of Synthetic Gradient for RNN (LSTM)
tensorflow
recurrent-neural-networks
lstm
rnn
dni
synthetic-gradients
decoupled-neural-interfaces
metalearning
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Jan 30, 2018 - Python
Decoupled Neural Interfaces Using Synthetic Gradients - under develeopment
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May 4, 2018 - Python
TensorFlow implementation of "Decoupled Neural Interfaces using Synthetic Gradients"
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Apr 26, 2017 - Jupyter Notebook
Predicting gradient (of perceptual loss) without doing a backward pass
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May 5, 2021 - Python
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Oct 30, 2020 - Jupyter Notebook
Decoupled Neural Interfaces (Jaderberg et al. 2017) mini-package for easy integration with pytorch RNNs
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Jul 15, 2022 - Python
Tests convergence of various estimators. In particular, PD and SF/REINFORCE are tested for gaussian and bernoulli latent variables and Synthetic gradients are tested in MNIST Classification (DNI).
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Aug 17, 2017 - Python
This repo contains a simple neural network to predict outcome of a clash royale game, this project is done solely to compare the execution speed vs accuracy of the new training method (synthetic gradients) vs the ubiquotous backpropogation algorithm
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Nov 1, 2017 - Jupyter Notebook
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