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qgt's Projects

c2py icon c2py

Code translation from C to Python Programming Language

graphit icon graphit

A light weight frontend Web Application to Plot graphs from data structures like Adjacency List and Adjacency Matrix to explore and have fun.

hand_gesture_detection icon hand_gesture_detection

This project is implemented by me for gaining practical experience and educating my self on the subtleties to multiclass classification using Pretrained networks and fine-tuning of such models. In this project, the base-model used was MobileNetV2 from Keras Library pre-trained on Imagenet Dataset. Finetuned it to get a training accuracy of 88% and test accuracy of 85% using only 800 images(200 of each category). The model used Global Average Pooling layer and Softmax Cost function. No dense layer was used. This model trained for 10 epochs with a learning rate equal to 0.0001 and batch size 64. Fine-tuning the results with greater precision and training the model with higher epochs could possibly improve the accuracy of the model. The project includes the all files , datasets, and pre-trained model weights. The model was trained on Google Colab and took 30mins to run 10 epochs.

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