Requirements.txt

1- Functions must be fully parameterised
2- write the function and its testbench and verify using handanalysis
3- the functions we will write:
1- Convoloution operation 2 matrices and get the output (stride included) - Rofida
2- max pooling operation 2 matrices and get the output - Zyad
3- zeropadding 2D (matrix) -Yehia
4- ReLU- Omar
	1- input matrix output matrix matrix
	2- input 1D array output 1D array 
	3- There is a flag to choose which mode of operation we will work on
	
	
	
Notes:

1- Zyad (Max-pooling) : needs to be more general check the required function below
2- Omar (Relu) : the code doesn't run so check it again 
3- Rofida (Convolution) : please add the following functionalties to the function (Check later)
4- Yahia (Zero-Padding) : please add the following functionalties to the function (check later)



Requirements for each function:

1- The inputs should be randomised and can be seen visually 
2- Outputs should be visulaised for example if an output is a matrix it should be seen in the matrix form 
EX:
1 2 
3 4

1st version:
Relu:
	Inputs: 1- Input matrix
		2- Output matrix 
		3- the sizes of the matrices should be defined as macros
2nd version:
Relu:
	Inputs: 1- Input 1D array 
		2- Output 1D array 
		3- sizes of the arrays should be defined as macros
		
Zero Padding:
	Inputs:
		1- Input matrix
		2- Output matrix
		3- Number of bits to be padded
		4- the sizes of the matrices and the number of bits to be padded should be defined as macros

Convolution:
	Inputs:
		1- Input matrix
		2- Ouput matrix
		3- Weights (in matrix form )
		4- stride 
		5- The sizes of the matricies and the size of the weights (3x3 as an example) and the stride should be defined as a 			macro
		
Max pooling:
	Inputs:
		1- Input matrix
		2- Kernel size (2x2 default)
		3- Output matrix
		4- stride 
		5- the sizes should all be defined as macros and  the stride should be defined as a macro