amsgrad
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Custom Optimizer in TensorFlow(定义你自己的Tensorflow Optimizer)
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Sep 5, 2019 - Python
Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproducibility Challenge
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Apr 13, 2019 - Python
Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay
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Sep 23, 2020 - Python
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
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Mar 23, 2019 - Python
Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻
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Jun 15, 2024 - Python
The optimization methods in deep learning explained by Vietnamese such as gradient descent, momentum, NAG, AdaGrad, Adadelta, RMSProp, Adam, Adamax, Nadam, AMSGrad.
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Apr 21, 2020 - Jupyter Notebook
A Repository to Visualize the training of Linear Model by optimizers such as SGD, Adam, RMSProp, AdamW, ASMGrad etc
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Aug 1, 2020 - Jupyter Notebook
Implementation and comparison of zero order vs first order method on the AdaMM (aka AMSGrad) optimizer: analysis of convergence rates and minima shape
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Sep 25, 2022 - Jupyter Notebook
Fully connected neural network for digit classification using MNIST data
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Apr 3, 2018 - Python
A comparison between implementations of different gradient-based optimization algorithms (Gradient Descent, Adam, Adamax, Nadam, Amsgrad). The comparison was made on some of the most common functions used for testing optimization algorithms.
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Jul 28, 2020 - Python
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Sep 14, 2018 - Jupyter Notebook
Generalization of Adam, AdaMax, AMSGrad algorithms for PyTorch
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Aug 14, 2018 - Python
"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
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Jun 19, 2024 - Jupyter Notebook
The implementation of the algorithm shows that OPTIMISTIC-AMSGRAD improves AMSGRAD in terms of various measures: training loss, testing loss, and classification accuracy on training/testing data over epochs.
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Nov 7, 2021 - Python
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