{"id":21258341,"url":"https://github.com/josgard94/perceptron-single-layer","last_synced_at":"2025-07-29T13:10:25.863Z","repository":{"id":136452472,"uuid":"279194144","full_name":"josgard94/perceptron-single-layer","owner":"josgard94","description":"Python implementation of the simple perceptron or also known as a single-layer neural network, is a binary classification algorithm by Frank Rosenblatt based on the neural model of Warren McCulloch and Walter Pitts developed in 1943.","archived":false,"fork":false,"pushed_at":"2025-03-28T07:14:22.000Z","size":56,"stargazers_count":3,"open_issues_count":0,"forks_count":4,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-04-14T04:36:27.105Z","etag":null,"topics":["machine-learning","machine-learning-algorithms","neural-networks","perceptron-learning-algorithm","python3","single-layer-perceptron"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/josgard94.png","metadata":{"files":{"readme":"README.es.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2020-07-13T02:54:29.000Z","updated_at":"2025-03-28T07:14:26.000Z","dependencies_parsed_at":null,"dependency_job_id":"3c78e7e9-677a-4793-b16c-a3889365fa8b","html_url":"https://github.com/josgard94/perceptron-single-layer","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/josgard94/perceptron-single-layer","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josgard94%2Fperceptron-single-layer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josgard94%2Fperceptron-single-layer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josgard94%2Fperceptron-single-layer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josgard94%2Fperceptron-single-layer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/josgard94","download_url":"https://codeload.github.com/josgard94/perceptron-single-layer/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josgard94%2Fperceptron-single-layer/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267693112,"owners_count":24129131,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-29T02:00:12.549Z","response_time":2574,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["machine-learning","machine-learning-algorithms","neural-networks","perceptron-learning-algorithm","python3","single-layer-perceptron"],"created_at":"2024-11-21T04:08:25.881Z","updated_at":"2025-07-29T13:10:25.834Z","avatar_url":"https://github.com/josgard94.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## 📄 `README.es.md` (versión en español)\n\n\u003e 🇬🇧 [Read in English](README.md)\n\n# 🧠 Perceptrón de Capa Única\n\n¡Bienvenido a este clásico proyecto de aprendizaje automático! Este repositorio contiene una implementación en **Python** del **Perceptrón de una sola capa**, también conocido como **Red Neuronal Simple**, propuesto por **Frank Rosenblatt** en 1958 e inspirado en el modelo de neuronas artificiales de **McCulloch y Pitts** (1943).\n\n---\n\n## 📘 Descripción\n\nEl perceptrón simula el funcionamiento básico de una neurona del cerebro:\n\n- Recibe entradas 🧾 (`x`)\n- Cada entrada se multiplica por un **peso** 📊 (`w`)\n- Se aplica una **función de activación** (`z = w·x + b`)\n- Si el resultado supera un cierto **umbral** (`θ`), la neurona se **activa** 🔥\n\nEste algoritmo es un **clasificador lineal binario**, usado para **aprendizaje supervisado**.\n\n---\n\n## ⚙️ Características\n\n- 🐍 Implementado en **Python**\n- 🎯 Realiza **clasificación binaria**\n- 📈 Entrenamiento paso a paso con actualización de pesos\n- 🧪 Visualización de resultados\n\n---\n\n## 📸 Resultados\n\n### 🔹 Ejemplo Frontera de Decisión 1\n![Frontera de Decisión](https://github.com/josgard94/perceptron-single-layer/blob/master/result.png)\n\n### 🔹 Ejemplo Fronter de Decisión 2\n![Proceso de Aprendizaje](https://github.com/josgard94/perceptron-single-layer/blob/master/result2.png)\n\n---\n\n## 🚀 Cómo Ejecutar\n\nAsegúrate de tener Python 3 y las dependencias necesarias:\n\n```bash\npip install -r requirements.txt\n```\nLuego ejecutas el script principal:\n```bash\npython main.py\n```\n## 📚 Referencias\n- Rosenblatt, F. (1958). The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain.\n- McCulloch, W. S., \u0026 Pitts, W. (1943). A Logical Calculus of the Ideas Immanent in Nervous Activity.\n\n## ⭐ ¡Dale una estrella!\nSi este proyecto te resultó útil o interesante, ¡no olvides dejar una ⭐ en el repositorio!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjosgard94%2Fperceptron-single-layer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjosgard94%2Fperceptron-single-layer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjosgard94%2Fperceptron-single-layer/lists"}