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vighneshvnkt / keras-deep-learning

Various implementations and projects on CNN, RNN, LSTM, GAN, etc
MIT License
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attention-mechanism aws-ami cifar10 cnn-keras deep-learning english-translation face-generation gan keras lstm multilayer-perceptron-network news-headline-generation simpsons-dataset text-generation tv-script-generation ucf11 video-classification

readme

Deep Learning and Cognitive Computing Assignments

A list of all assignments of deep learning and cognitive computing

Assignment 1 : Multi Layer Perceptron on cifar10 dataset to classify images
Assignment 2 : Convolutional Neural Networks on cifar10 dataset to classify images
Midterm Project :
  a) TV Script generation using Simpsons dataset
  b) English to French translation
  c) Face generation using Generative Adverserial Networks
Assignment 3 : Video classification on UCF11 dataset
Final Project : News Headline generation and validation

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes

Prerequisites

A machine or a cloud service with GPU having CUDA3.0 or above

Amazon EC2/Google Cloud Compute/IBM Data Science Experience/Microsoft Azure

Anaconda for Python 3.6

Installing

Install Tensorflow, Keras and other packages

pip install keras
pip install tensorflow-gpu

Running the example

Use Jupyter notebook for running the IPYNB files

Authors

License

This project is licensed under the MIT License - see the [LICENSE.md] file for details

Acknowledgments