Topic: cyclical-learning-rates Goto Github
Some thing interesting about cyclical-learning-rates
Some thing interesting about cyclical-learning-rates
cyclical-learning-rates,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.
User: abhijitpal1247
cyclical-learning-rates,This repository contains the Jupyter notebook for the custom-built VGG16 Model build for the Tiny ImageNet dataset.
User: ayushdabra
cyclical-learning-rates,This repository contains the Jupyter notebook for the custom-built VGG16 Model build for the Tiny ImageNet dataset.
Organization: cnc-iiser-bhopal
cyclical-learning-rates,Pytorch implementation of the paper: 'Cyclical Learning Rates for Training Neural Networks'
User: coxy1989
cyclical-learning-rates,βπΌπ This one stop project is a complete COVID-19 detection package comprising of 3 tasks: β’ Task 1 --> COVID-19 Classification β’ Task 2 --> COVID-19 Infection Segmentation β’ Task 3 --> Lung Segmentation
User: deadskull7
cyclical-learning-rates,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 cycled between a lower bound and upper bound. CLR policies are computationally simpler and can avoid the computational expense of fine tuning with fixed learning rate. It is clearly shown that changing the learning rate during the training phase provides by far better results than fixed values with similar or even smaller number of epochs.
User: fitushar
cyclical-learning-rates,Deep Learning for Insincere Question Classification
User: imrahulr
Home Page: https://imrahulr.github.io/nlp/deep%20learning/kaggle/2018/01/11/quora-insincere-question.html
cyclical-learning-rates,Paper to Code automates the incorporation of research paper concepts into practical code using OpenAI's GPT models, bridging theory and implementation.
User: pedroosodrac
cyclical-learning-rates,Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.
User: psklight
Home Page: https://psklight.github.io/keras_one_cycle_clr/
cyclical-learning-rates,self-used pytorch utilities
User: sevenzhan
cyclical-learning-rates,training food-101 (achieved SOTA top-1 validation acc ~=90%) using 1-cycle-policy:
User: shubhajitml
Home Page: https://nbviewer.jupyter.org/github/shubhajitml/food-101/tree/master/
cyclical-learning-rates,Classify footware based on closures : https://nbviewer.jupyter.org/github/shubhajitml/footware/tree/master/
User: shubhajitml
cyclical-learning-rates,Cyclical Learning Rate and 1Cycle Policy as Keras callback.
User: tisu19021997
cyclical-learning-rates,
User: vin136
cyclical-learning-rates,This repository contains the jupyter notebooks for the custom-built DenseNet Model build on Tiny ImageNet dataset
User: zohebabai
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