IEEE

Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey

Abstract: With the adoption of smart systems, artificial neural networks (ANNs) have become ubiquitous. Conventional ANN implementations have high energy consumption, limiting their use in embedded ...
TheServerSide

Full Git and GitHub tutorial for beginners

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...
GitHub

neural-network-python

general deep neural network with L layers model built from scratch with python numpy. coded as a practice on Deep Learning Specialization first course by Andrew Ng. An educational Python project ...
IEEE

Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers

Abstract: The well-known backpropagation learning algorithm is implemented in a field-programmable gate array (FPGA) board and a microcontroller, focusing in obtaining efficient implementations in ...