(Python Project) Developed and trained an inception module based convolutional neural network architecture to identify German Traffic Signs.
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Updated
Apr 19, 2017 - HTML
(Python Project) Developed and trained an inception module based convolutional neural network architecture to identify German Traffic Signs.
We use pretrained networks VGGnet, AlexNet, GoogLeNet, ResNet which trained on the ImageNet dataset as a feature extractor to classify images.
A Kubernetes-powered web application with built-in triggers to OpenFaaS machine learning models.
Timeline of history events related to bitcoin before it was released to the public by Satoshi Nakamoto.
COVID-19 diagnosis using Chest X-Ray images with Transfer Learning
A System Administration Related Project
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