This code is an implementation of a Perceptron Neural Network in Python. It generates synaptic weights based on a training file. Once the synaptic weights have been found, we can run tests on another ...

I’ve shown a basic implementation of the perceptron algorithm in Python to classify the flowers in the iris dataset. For starting with neural networks a beginner should know the working of a single ...

This project masterfully creates a single perceptron and multi-layer neural network in Python from scratch instead of using the conventional Scikit learn packages This project implements a single ...

Neural network approximators are used in digital signal processing, in particular when automating the process of their analysis. The paper is devoted to the implementation of an approximator based on ...

Abstract: The quest for efficient hardware implementations of perceptrons in artificial neural networks (ANNs) is driven by the increasing demand for real-time processing and low-power computing. In ...

Click here.. PyTorch. PyTorch is a Python package that provides two high-level features, tensor computation (like NumPy) with strong GPU acceleration, deep neural networks built on a tape-based ...