CANN - C based Artificial Neural Network

This a simple library which integrates a lot of functionalities for basic ANN operations. For more details on the library, read the short paper summary - Paper

Comparison with python modules

1. Gate functionalities : Creating ANN for gates like XOR,AND,OR etc in a low level language like C is much faster and hiighly compatible too.

2. Regression : The Auto-Mpg dataset was used to solve a MULTIPLE LINEAR REGRESSION problem using the ANN.

Execution Time

ANN library	Iterations	RMSE	Time(sec)
CANN	103	9.586	0.06558
Keras	103	5.516	13.9793

3.Classification : The IRIS dataset was used to solve a 3 class problem using the ANN.

Execution Time

ANN library	Iterations	Accuracy	Time(sec)
CANN	103	96.7%	0.1834
Keras	103	96.6%	33.72608

Steps to compile and Execute

Compile

gcc -w cann.c <test_main_file.c> -lm

<test_main_file.c> can be :

1. test_xor.c
2. test_iris.c
3. test_mpg.c

Corresponding python implementations are:

1. iris_test.py
2. mpg_test.py

Execute

./a.out