Neural Network

Project Requirements

If you are familiar with vectorized implementation of neural network, feel free to jump ahead and start watching videos on Golang part, otherwise we need to go over some the basics and mathematics of neural nets.

Jupyter Notebook

I will use Python to teach math because I can write LaTex in Jupyter notebooks. Also, numpy is very convenient for matrix operations. We will see that we have a numpy equivalent in Golang called gonum (I wonder why not numgo?)

So let's get started by installing pip. I think easy_install is provided by Mac OS X, so we don't need to use Homebrew.

sudo easy_install pip

Once you have pip, now use it to install virtualenv (Python virtual environment)

pip install virtualenv

If permission denied, use sudo. This is equivalent to install npm globally. Remember that pip is a package manager for Python, just like npm for Node.

sudo pip install virtualenv

Now go to neural_net directory and create a virtual environment

cd $GOPATH/src/go-academy/neural_net/
virtualenv environment

Activate your environment

source environment/bin/activate

Install all the required dependencies

pip install numpy
pip install matplotlib
pip install jupyter

Now you are good to go, let's run Jupyter!!! Make a directory called notebooks in neural_net

mkdir notebooks
cd notebooks
jupyter notebook