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Search results for gradient mnist
gradient
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mnist
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28 search results found
Grenade
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1,430
Deep Learning in Haskell
Keract
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1,030
Layers Outputs and Gradients in Keras. Made easy.
Tensorflow Tutorial Samples
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356
TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例
Pytorch_misc
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241
Code snippets created for the PyTorch discussion board
Tensorflow Adversarial
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204
Crafting adversarial images
Adversial_example_defense
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143
对抗性样本攻击与防御
Noisynaturalgradient
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115
Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
Dni.pytorch
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102
Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
Wgan Gp
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98
Pytorch implementation of Wasserstein GANs with Gradient Penalty
Accum_optimizer_for_keras
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96
wrapping a keras optimizer to implement gradient accumulation
Cocob
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93
TensorFlow implementation of COCOB
Eunn Tensorflow
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62
Efficient Unitary Neural Network(EUNN) implementation in Tensorflow
Entropy Sgd
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61
Lua implementation of Entropy-SGD
Pytorch Pcgrad
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53
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Gradient Based Sample Selection
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44
Gradient Boosted Decision Tree
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41
GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装
Heated_up_softmax_embedding
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40
Project page for Heated-up Softmax Embedding
Parle
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38
Rrr
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34
Code/figures in Right for the Right Reasons
Dann_tf2.0
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33
DANN in TensorFlow 2.0
Tf Examples
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23
TensorFlow examples
Mongeampereflow
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20
Continuous-time gradient flow for generative modeling and variational inference
Le
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17
Machine Learning Framework
Relative Gradient Jacobian
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17
Relative gradient optimization of the Jacobian term in unsupervised deep learning.
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)
Grokkingdeeplearning
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13
This repository will contain my take on Andrew Trask's book GrokkingDeepLearning.
Ocaml Tensorflow Eager
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11
OCaml bindings for TensorFlow Eager mode
T1t2
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9
Theano implementation of T1-T2 gradient-based method for tuning continuous hyperparameters.
Digit Recognizer
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8
A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented
Svrg Pytorch
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7
Implementation of an efficient variant of SVRG that relies on mini-batching implemented in Pytorch
Lenet5
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6
LeNet 5 implementation to be used on MNIST Data
Mnist Sample
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6
An example mnist model for Gradient to demonstrate TensorFlow model parsing, distributed training, and more.
Gradient Secure
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6
Poisoning Attack
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5
Evgena
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5
Evolutionary Generated Adversarial Examples
Dpsgd Optimizer
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5
Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.
Decentralized_sgd
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5
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1-28 of 28 search results
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