Deep Learning with Convolutional Neural Networks

This repository is meant to provide foundations for Deep Learning with Convolutional Neural Network. It contains a presentation that illustrates the theoretical concepts and a set of sample programs to understand the working of Deep Neural Networks. All the programs are implemented using Keras Deep Learning Library.

Contents

1. Presentation: DLwithCNN.pdf
2. Exploring Artificial Neural Network: ANN.ipynb
3. Cat Vs. Dog Image Classification Using CNN: CNN_CvD.ipynb
4. Sentiment Classification using ANN & CNN: CNN_textClassifier.ipynb
5. Kim's CNN for Sentiment Analysis : kimsModel.ipynb

Instructions to use the repository

All the programs are executed in Google Colab. You can clone and use this repository straight forward.