This repository contains material related to Artificial neural network.
in this project ill elabolate more on:
- Perceptrons
- Error function
- Softmax
- Cross Entropy
- Gradient Descent
- Feed Forward
- Back Propagation
- Mean Square Error
To set up your python environment to run the code in this repository, follow the instructions below.
-
Create (and activate) a new environment with Python 3.6.
- Linux or Mac:
conda create --name deepl python=3.6 source activate dl
- Windows:
conda create --name deepl python=3.6 activate dl
-
Clone the repository (if you haven't already!), and navigate to the main
/
folder. Then, install several dependencies.
git clone https://github.com/salviosage/neural-network-.git
cd neural-network-
pip install .
- Create an IPython kernel for the
deepl
environment.
python -m ipykernel install --user --name deepl --display-name "deepl"
- Before running code in a notebook, change the kernel to match the
deepl
environment by using the drop-downKernel
menu.