(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.
This project deploys a web application using Docker containers. It sets up services like WordPress, MariaDB, Nginx, Adminer, FTP, Redis, a Python server with SSH, and a static website, all managed in a scalable and isolated environment with Docker Compose.
A System Administration Related Project
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
We use pretrained networks VGGnet, AlexNet, GoogLeNet, ResNet which trained on the ImageNet dataset as a feature extractor to classify images.
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