Deep Learning Projects

This repository is a work in progress and has code implementing different deep learning tasks. Install the required packages using

pip install -r requirements.txt

Multi-class Classification

1. Example using MNIST and LeNet (LeNet.ipynb)

Training Metrics: Loss and Accuracy

Validation Metrics: Loss and Accuracy

2. Notebook using ResNet to classify a 150 class Kaggle dataset (ResNet.ipynb).

Also experimented with VGG for the same dataset. Both models were fine-tuned from a model pretrained on ImageNet.

Training Metrics: Loss and Accuracy

Validation Metrics: Loss and Accuracy

Language Translation using RNNs (WIP)

Object Detection