# Ressources

## Simple Neural Network
- [3Blue1Brown](https://www.3blue1brown.com/topics/neural-networks)
- [Medium](https://medium.com/@14prakash/back-propagation-is-very-simple-who-made-it-complicated-97b794c97e5c)
- [Simeon Kostadinov: Understanding Backpropagation](https://towardsdatascience.com/understanding-backpropagation-algorithm-7bb3aa2f95fd)
- [Tobias Hill: Gradient Descent](https://towardsdatascience.com/part-2-gradient-descent-and-backpropagation-bf90932c066a)

## Convolutional Neural Network

- [The Independent Code](https://www.youtube.com/watch?v=Lakz2MoHy6o)

## Jeux de données
- [MNIST](http://yann.lecun.com/exdb/mnist/)
- [ImageNet](https://www.image-net.org/index.php)

## CUDA
- [Introduction à CUDA](https://developer.nvidia.com/blog/even-easier-introduction-cuda/) (Documentation Nvidia)
- [Gestion des erreurs](https://developer.nvidia.com/blog/how-query-device-properties-and-handle-errors-cuda-cc/) (Documentation Nvidia)
- [Unified Memory](https://on-demand.gputechconf.com/gtc/2017/presentation/s7285-nikolay-sakharnykh-unified-memory-on-pascal-and-volta.pdf) (Présentation Nvidia)