From 6d920fd0b39edb0dfaad4b27794d905fdf5eacf7 Mon Sep 17 00:00:00 2001
From: "MSI\\alber" <alberto.cavallo@synesthesia.it>
Date: Fri, 10 Nov 2023 16:14:48 +0100
Subject: [PATCH] Final commit
---
README.md | 11 ++++++++++-
1 file changed, 10 insertions(+), 1 deletion(-)
diff --git a/README.md b/README.md
index d5f4184..6a4fb38 100644
--- a/README.md
+++ b/README.md
@@ -22,7 +22,7 @@ The two models are tested on the image database CIFAR-10 which consists of 60 00
- `read_cifar(path)`: takes the path of the directory containing the six batches and returns a matrix `data` and a vector `labels`.
- `split_dataset(data, labels, split_factor)`: randomly splits the dataset into a training set and a test set with a specified split factor.
-
+m
### K-Nearest Neighbors
3. The Python file named `knn.py` is composed of:
@@ -55,9 +55,18 @@ The two models are tested on the image database CIFAR-10 which consists of 60 00
5. In the `results` folder there are three plot images:
- `knn.png`: refers to the knn algorithm, it represents the plot of the accuracy evolution along increasing value of 'k' (from 1 to 20)
+ <div style="text-align:center;">
+ <img src="results/knn.png" alt="knn" width="300" height="200">
+ </div>
+
- `mlp.png`: refers to the MLP neural network, it represents the plot of the training accuracies evolution along 100 epochs
- `loss.png`: refers to the MLP neural network, it represents the plot of the loss evolution along 100 epochs (further proof that the network works)
+<div style="text-align:center;">
+ <img src="results/mlp.png" alt="mlp" width="300" height="200">
+ <img src="results/loss.png" alt="loss" width="300" height="200">
+</div>
+
## Usage
1. Clone the repository.
--
GitLab