A presentation for Charlotte Day of DotNetNuke 2012
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Updated
Jun 2, 2012 - JavaScript
A presentation for Charlotte Day of DotNetNuke 2012
Practiced implementing a simple DNN (along with discriminative pretraining) for acoustic modelling for ASR and used kaldi for frontend and decode. Kaldi features, alignment, etc are used in python using Karel's (https://github.com/vesis84) library (https://github.com/vesis84/kaldi-io-for-python).
The DNN Security Analyzer is a module aimed at helping you to improve the security on your DNN website
Testing architectures for siamese convolutional neural networks
Dnn module that aggregates community extensions
Classifying YouTube videos based on category id
Style transfer/ deep harmonization
Simple Deep Neural Network with TensorFlow2
Top Research papers on Machine Learning (ML) and Deep Learning (DL) with innovative ideas for reference along with their direct link and abstract.
사람의 걸음걸이를 딥러닝 모델을 이용하여 뼈대를 찾는 이미지 프로세싱
yolov3 is realized through the DNN of opencv with C++.
Using Deep Learning to predict financial time-series
Classificador de imagem de animais via ML.NET
Studying repository for Pytorch library
Daily Temperature forecasting model with accuracy of 90%
[This project was completed in September 2020] The GML-Net is a convolutional neural network (CNN) that is based on U-Net architecture with an encoder derived from the ResNet family and BottleNeck blocks that provide reading and aggregation of feature maps from a cross-section of various scales. Effective network learning is ensured by loss func…
Various config templates for my DNN projects
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