Basic implimentation of a CNN using pytorch.
1 converlutional layer:
-> input depth 3
-> output depth 16
-> kernel size 3
-> padding 1

1 maxpool layer

This is a basic implementation of a neural network using pytorch. The network accepts an input of 784 and generate a final output of 10. eg(classifying 28x28 -> 784 images of 10 digits)

Perceptron algorithm

Added selection sort.

#1
selectionsort

Create CombSort.py

Improved version of the bubble-sort method.

add DFS.py

Create bintree.py

Implemented stack in python.

Create PortScan.py

Added a queque

Merge Sort without Slicing

Added a ton of sort algorithms

Searching_Algo

Add contributing guidelines to the README

sortingalgoswithit'scomputingtime

shell sort

Sortalgos