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Nov 12, 2018 - Python
cyclical-learning-rates
Here are 16 public repositories matching this topic...
Cyclical Learning Rate and 1Cycle Policy as Keras callback.
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Sep 27, 2020 - Python
This repository contains the Jupyter notebook for the custom-built VGG16 Model build for the Tiny ImageNet dataset.
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Nov 15, 2022 - Jupyter Notebook
training food-101 (achieved SOTA top-1 validation acc ~=90%) using 1-cycle-policy:
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Aug 24, 2019 - Jupyter Notebook
Classify footware based on closures : https://nbviewer.jupyter.org/github/shubhajitml/footware/tree/master/
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Aug 18, 2019 - Jupyter Notebook
Deep Learning for Insincere Question Classification
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Jun 5, 2019 - Jupyter Notebook
As the learning rate is one of the most important hyper-parameters to tune for training convolutional neural networks. In this paper, a powerful technique to select a range of learning rates for a neural network that named cyclical learning rate was implemented with two different skewness degrees. It is an approach to adjust where the value is c…
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Jan 19, 2019 - Jupyter Notebook
Paper to Code automates the incorporation of research paper concepts into practical code using OpenAI's GPT models, bridging theory and implementation.
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Jan 10, 2024 - Python
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May 7, 2018 - Jupyter Notebook
Pytorch implementation of the paper: 'Cyclical Learning Rates for Training Neural Networks'
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Jan 24, 2019 - Jupyter Notebook
Using the pre-trained ImageNet models and cyclical learning rates, we tried to classify the DeepSAT-6 dataset (https://csc.lsu.edu/~saikat/deepsat/) into 6 categories (barren land, trees, grassland, roads, buildings and water bodies). Due to the absence of occlusion by the cloud, we dropped the NIR channel of the data.
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Sep 23, 2020 - Jupyter Notebook
This repository contains the Jupyter notebook for the custom-built VGG16 Model build for the Tiny ImageNet dataset.
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Sep 6, 2020 - Jupyter Notebook
self-used pytorch utilities
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Feb 26, 2020 - Python
This repository contains the jupyter notebooks for the custom-built DenseNet Model build on Tiny ImageNet dataset
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Jun 2, 2020 - Jupyter Notebook
Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.
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Jun 13, 2019 - Python
✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation
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Sep 1, 2021 - Jupyter Notebook
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