adamax
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Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻
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Jun 15, 2024 - Python
traffic sign detection using ML
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Nov 24, 2022 - Python
Course from O. Wintenberger for Master M2A at Sorbonne University : Online Convex Optimization
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Mar 10, 2022 - Jupyter Notebook
A deep learning classification program to detect the CT-scan results using python
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Oct 3, 2021 - Jupyter Notebook
A deep learning classification program to detect the CT-scan results using python
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Sep 11, 2021 - Jupyter Notebook
Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation
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Aug 10, 2021 - Python
Deep Learning Optimizers
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May 29, 2021 - HTML
Analyze the performance of 7 optimizers by varying their learning rates
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Dec 20, 2020 - Jupyter Notebook
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
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
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
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Mar 23, 2019 - Python
Collection of notebooks I made on deep learning topics.
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Nov 15, 2018 - Jupyter Notebook
Investigating the Behaviour of Deep Neural Networks for Classification
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Oct 7, 2018 - Python
Generalization of Adam, AdaMax, AMSGrad algorithms for PyTorch
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Aug 14, 2018 - Python
The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.
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Aug 16, 2016 - Python
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