save media locally

.gitignore

@@ -52,3 +52,6 @@ docs/_build/
 
 # PyBuilder
 target/
+
+.idea
+media

README.md

@@ -7,7 +7,7 @@ Bare bones introduction to machine learning from linear regression to convolutio
 It's worth noting that this library assumes that the reader has access to the mnist dataset. This dataset is freely available and is accessible through Yann LeCun's [personal website](http://yann.lecun.com/exdb/mnist/).
 
 If you want to automate the download of the dataset, there is an included file that will do this for you. Simply run the following:
-`sudo ./download_mnist.sh`
+`./download_mnist.sh`
 
 ***Known Issues***
 `Library not loaded: /usr/local/opt/openssl/lib/libssl.1.0.0.dylib`

download_mnist.sh

@@ -1,27 +1,27 @@
 #!/bin/bash
 
-mkdir -p /media/datasets/mnist
+mkdir -p ./media/datasets/mnist
 
-if ! [ -e /media/datasets/mnist/train-images-idx3-ubyte.gz ]
+if ! [ -e ./media/datasets/mnist/train-images-idx3-ubyte.gz ]
 	then
-		wget -P /media/datasets/mnist/ http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
+		wget -P ./media/datasets/mnist/ http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
 fi
-gzip -d /media/datasets/mnist/train-images-idx3-ubyte.gz
+gzip -d ./media/datasets/mnist/train-images-idx3-ubyte.gz
 
-if ! [ -e /media/datasets/mnist/train-labels-idx1-ubyte.gz ]
+if ! [ -e ./media/datasets/mnist/train-labels-idx1-ubyte.gz ]
 	then
-		wget -P /media/datasets/mnist/ http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
+		wget -P ./media/datasets/mnist/ http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
 fi
-gzip -d /media/datasets/mnist/train-labels-idx1-ubyte.gz
+gzip -d ./media/datasets/mnist/train-labels-idx1-ubyte.gz
 
-if ! [ -e /media/datasets/mnist/t10k-images-idx3-ubyte.gz ]
+if ! [ -e ./media/datasets/mnist/t10k-images-idx3-ubyte.gz ]
 	then
-		wget -P /media/datasets/mnist/ http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
+		wget -P ./media/datasets/mnist/ http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
 fi
-gzip -d /media/datasets/mnist/t10k-images-idx3-ubyte.gz
+gzip -d ./media/datasets/mnist/t10k-images-idx3-ubyte.gz
 
-if ! [ -e /media/datasets/mnist/t10k-labels-idx1-ubyte.gz ]
+if ! [ -e ./media/datasets/mnist/t10k-labels-idx1-ubyte.gz ]
 	then
-		wget -P /media/datasets/mnist/ http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
+		wget -P ./media/datasets/mnist/ http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
 fi
-gzip -d /media/datasets/mnist/t10k-labels-idx1-ubyte.gz
+gzip -d ./media/datasets/mnist/t10k-labels-idx1-ubyte.gz

load.py

@@ -1,7 +1,7 @@
 import numpy as np
 import os
 
-datasets_dir = '/media/datasets/'
+datasets_dir = './media/datasets/'
 
 def one_hot(x,n):
 	if type(x) == list: