From 27e1d3d9623560611f952d08444168879ed99451 Mon Sep 17 00:00:00 2001
From: David Rotermund <54365609+davrot@users.noreply.github.com>
Date: Wed, 20 Dec 2023 17:56:36 +0100
Subject: [PATCH] Update README.md

Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
---
 pytorch/MNIST/README.md | 58 ++++++++++++++++++++++-------------------
 1 file changed, 31 insertions(+), 27 deletions(-)

diff --git a/pytorch/MNIST/README.md b/pytorch/MNIST/README.md
index 1d3deb5..acbbcd2 100644
--- a/pytorch/MNIST/README.md
+++ b/pytorch/MNIST/README.md
@@ -36,35 +36,39 @@ gzip -d *.gz
 
 ### Label file structure
 
-> # [offset] [type]          [value]          [description]
-> # 0000     32 bit integer  0x00000801(2049) magic number (MSB first)
-> # 0004     32 bit integer  60000            number of items
-> # 0008     unsigned byte   ??               label
-> # 0009     unsigned byte   ??               label
-> # ........
-> # xxxx     unsigned byte   ??               label
-> # The labels values are 0 to 9.
+> [offset] [type]          [value]          [description]
+> 0000     32 bit integer  0x00000801(2049) magic number (MSB first)
+> 0004     32 bit integer  60000            number of items
+> 0008     unsigned byte   ??               label
+> 0009     unsigned byte   ??               label
+> ........
+> xxxx     unsigned byte   ??               label
+
+The labels values are 0 to 9.
 
 ### Pattern file structure
 
-> # [offset] [type]          [value]          [description]
-> # 0000     32 bit integer  0x00000803(2051) magic number
-> # 0004     32 bit integer  60000            number of images
-> # 0008     32 bit integer  28               number of rows
-> # 0012     32 bit integer  28               number of columns
-> # 0016     unsigned byte   ??               pixel
-> # 0017     unsigned byte   ??               pixel
-> # ........
-> # xxxx     unsigned byte   ??               pixel
-> # Pixels are organized row-wise.
-> # Pixel values are 0 to 255. 0 means background (white),
-> # 255 means foreground (black).
+> [offset] [type]          [value]          [description]
+> 0000     32 bit integer  0x00000803(2051) magic number
+> 0004     32 bit integer  60000            number of images
+> 0008     32 bit integer  28               number of rows
+> 0012     32 bit integer  28               number of columns
+> 0016     unsigned byte   ??               pixel
+> 0017     unsigned byte   ??               pixel
+> ........
+> xxxx     unsigned byte   ??               pixel
 
- ##
+Pixels are organized row-wise.
+
+Pixel values are 0 to 255. 0 means background (white),
+
+255 means foreground (black).
+
+## Converting the dataset to numpy
 
 My source code for that task: convert.py
 
-# %%
+```python
 import numpy as np
 
 # [offset] [type]          [value]          [description]
@@ -199,11 +203,11 @@ def proprocess_dataset(testdata_mode: bool) -> None:
 
 proprocess_dataset(testdata_mode=True)
 proprocess_dataset(testdata_mode=False)
- 
+``` 
 
 Now we have the files:
 
-test_label_storage.npy
-test_pattern_storage.npy
-train_label_storage.npy
-train_pattern_storage.npy
+* test_label_storage.npy
+* test_pattern_storage.npy
+* train_label_storage.npy
+* train_pattern_storage.npy