项目作者： DusanRandD
项目描述 ：
Single Perceptron Backpropogation Algorithm-This algorithm implements software realization of the smallest unit of artificial neural network. One version is written in C language, second in Python/Tensorflow/Keras. This single perceptron is able to solves simple logical operations like AND, OR, NAND, NOR, and NOT. Neural network with only one neural cell have two binary inputs and one output. Coefficients that are calculate are two weights and one bias in backpropagation sort of learning process. In C code is added the logging functionality of all coefficients, over iteration process of learning, into one textual file which can be analyzed later. In Python code ther is tracking of loss with chart creating. This algorithm can not resolve XOR or XNOR logical operations.
高级语言： Jupyter Notebook
项目地址: git://github.com/DusanRandD/SPBA.git
