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TensorFlow Guide
SharpDesktopGym uses CSharp environments for interaction with Python TensorFlow Agents.
This repository contains a notebook for object detection with the help of fine tuning of a (TF2 friendly) RetinaNet architecture on very few examples of a novel class after initializing from a pre-trained COCO checkpoint. Training runs in eager mode.
Fine Tuning of the BERT-en-uncased-v4 model on yelp polarity reviews dataset.
Deep Learning model for Self-Driving Cars to reduce accidents with high accuracy in classification of 99.2% and detection of 93%.