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Commit d36336c2 authored by Danjou Pierre's avatar Danjou Pierre
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Update README.md

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......@@ -7,33 +7,25 @@ The objective of this tutorial is to write a complete image classification progr
Two classification models will be successively developed and tested: k-nearest neighbors (KNN) and neural networks (NN).
## Prepare the CIFAR dataset
First of all, we had to prepare the CIFAR dataset. All the code can be found on the python file read_cifar.py
## K-Nearest Neighbors (KNN)
All the code can be found on the python file knn.py
Here is the graph of the accuracy of my knn code epending on the value of k for the Cifar dataset with a split factor of 0.9:
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## Artificial Neural Network
### Maths
## Artificial Neural Network
### Code
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