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• Introduction to Neural Networks and Deep Learning
• Building a simple neural network from first principles
• Introduction to Backpropagation algorithm
• Multi-layer perceptron
• Convolution Neural Networks
  • Introduction to Convolution
  • Image Recognition using CNN
• Natural Language Processing :
  • Introduction toword2vec
  • Introduction to Recurrent Neural Networks
  • Text classification using RNN
  • Text generation using RNN
• Unsupervised learning using Autoencoders

Depending on time, some of the topics may not be covered during the workshop. But, please note that the entire content(data and source code inipython notebook format) would be available in this repository.

https://speakerdeck.com/bargava/introduction-to-deep-learning

Pre-requisites: git, python 2.7.X, virtualenv, pip (7.1.X recommended)

• If you're using Ubuntu, here are all the packages you'll need before you canproceed

  $ sudo apt-get install python2.7 python-dev build-essential curl libatlas-base-dev gfortran$ sudo apt-get install libfreetype6-dev libpng-dev libjpeg-dev

• Clone the repo from GitHub

  $ git clone https://github.com/rouseguy/intro2deeplearning.git$ cd intro2deeplearning

• Create python virtual environment

  $ virtualenv env$ source env/bin/activate

• Install requirements using pip

  $ pip install -r requirements.txt

  Userequirements_linux.txt instead ofrequirements.txt if you're onlinux

• When the requirements are being downloaded / installed, Fetch the datasetssimultaneously

  $ sh download_data.sh

• Runcheck_env.py script to test the dependencies

  $ python check_env.py

  Output should look like this

  [ OK ] scipy version 0.15.1[ OK ] PIL version 1.1.7[ OK ] keras[ OK ] IPython version 4.0.0[ OK ] theano version 0.7.0[ OK ] numpy version 1.9.2[ OK ] pandas version 0.16.2[ OK ] gensim version 0.10.3[ OK ] sklearn version 0.16.1

  This means you have all the dependencies installed and you're ready to start.

• Run the notebook

  $ cd notebooks$ ipython notebook

  This opens your default browser which displays the list of notebooks in thecurrent directory.

  Open1. Introduction to Artificial Neural Networks.ipynb.Now, run the first cell with imports in the notebook (shift + enter).If you have all the dependencies installed, this should run without anyerrors.

Note: We only support Ubuntu Linux (Tested) & OSX environments. We stronglyrecommend Windows users to have a VM running Linux, and then install theserequirements on that VM.