{"id":20303165,"url":"https://github.com/bredalis/keras","last_synced_at":"2026-05-08T09:32:14.502Z","repository":{"id":248438558,"uuid":"805803667","full_name":"Bredalis/Keras","owner":"Bredalis","description":"🌟The use of Keras in DL 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returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["ia","keras","librery","ml","models","python","tensorflow"],"created_at":"2024-11-14T16:36:11.410Z","updated_at":"2026-05-08T09:32:14.493Z","avatar_url":"https://github.com/Bredalis.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1\u003e\u003cb\u003e💻 My First DL Programs 💻\u003c/b\u003e\u003c/h1\u003e\n\n\u003ca href=\"https://www.python.org\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Python-52BE80\"\u003e\n\u003c/a\u003e\n\u003ca href=\"https://www.tensorflow.org/\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/TensorFlow-F39C12\"\u003e\n\u003c/a\u003e\n\u003ca href=\"https://keras.io/\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Keras-E74C3C\"\u003e\n\u003c/a\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003cimg src=\"https://i.pinimg.com/236x/f4/17/91/f41791aa2c8696673f9be821fa4ce334.jpg\"\u003e\n\n\u003cp\u003e\n🤖 \u003cb\u003eMy First DL Programs\u003c/b\u003e is a collection of beginner-friendly Deep Learning experiments built using Python, TensorFlow, and Keras.\n\nThis repository contains simple examples that demonstrate how neural networks work, including dense layers, weight initialization, and sequential models.\n\nThe goal of this project is to understand the foundations of Deep Learning through clean, modular, and well-structured code.\n\n\u003c/p\u003e\n\n---\n\n## Table of Contents 🧾\n\n* Description 📝\n* Features 📦\n* Installation 🛠️\n* Usage 📘\n* Technologies 🧪\n* License 📜\n\n---\n\n## Description 📝\n\nThis repository explores the core concepts of Deep Learning using TensorFlow and Keras.\n\nThe examples included demonstrate:\n\n* 🧠 Dense layer creation\n* ⚙️ Weight initialization\n* 🔗 Sequential model architecture\n* 📊 Forward pass execution\n* 🏗️ Layer stacking and removal\n* 📄 Model summary visualization\n\nThe project is structured to help beginners understand how neural networks are built and executed step by step.\n\n---\n\n## Features 📦\n\n✔️ Simple and clear neural network examples\n✔️ Sequential model implementation\n✔️ Dense layer configuration\n✔️ Weight inspection\n✔️ Modular and readable code structure\n✔️ PEP 8–styled scripts\n\n---\n\n## Installation 🖥️\n\n1️⃣ Clone the repository:\n\n```bash\ngit clone https://github.com/Bredalis/Keras.git\n```\n\n2️⃣ Navigate into the project directory:\n\n```bash\ncd Keras\n```\n\n3️⃣ Install dependencies:\n\n```bash\npip install tensorflow keras\n```\n\n---\n\n## Usage ⚙️\n\nTo run any example:\n\n1️⃣ Navigate to the script location:\n\n```bash\ncd folder_name\n```\n\n2️⃣ Execute the Python file:\n\n```bash\npython script_name.py\n```\n\nEach file demonstrates a specific Deep Learning concept in isolation.\n\n---\n\n## Technologies 🧪\n\n* Python 🐍\n* TensorFlow 🧠\n* Keras 🔬\n* Neural Networks Fundamentals\n* Deep Learning Concepts\n\n---\n\n## License 📜\n\nThis project is licensed under the 📜 \u003ca href=\"https://www.gnu.org/licenses/gpl-3.0.en.html\" target=\"_blank\"\u003e\nGPLv3 (GNU General Public License V3.0) \u003c/a\u003e\n\n---\n\n## 👩‍💻 Author\n\n\u003cimg src=\"https://avatars.githubusercontent.com/u/111624948?s=400\u0026v=4\" width=\"50\" height=\"50\"\u003e \n\u003cimg src=\"https://readme-typing-svg.demolab.com?font=Roboto+Slab\u0026color=%23FFFFFF\u0026size=35\u0026center=true\u0026vCenter=true\u0026width=450\u0026duration=1500\u0026pause=1000\u0026lines=Hello,+I+am;Bredalis+Gautreaux!\" width=\"auto\" height=\"35\"/\u003e\n\n[![Github](https://img.shields.io/github/followers/Bredalis?label=Follow\\\u0026style=social)](https://github.com/Bredalis)\n![GitHub Followers](https://img.shields.io/github/stars/bredalis?style=social)\n\n\u003ca href=\"https://www.linkedin.com/in/bredalis-gautreaux/\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/-LinkedIn-blue?style=flat-square\u0026logo=Linkedin\u0026logoColor=white\"\u003e\n\u003c/a\u003e\n\n😊 I am a programmer passionate about technology, artificial intelligence, and continuous learning.\nI enjoy exploring AI concepts and transforming theory into practical experiments.\n#python #deeplearning #ai 🚀\n\n---\n\n## ⭐ Check out my GitHub profile\n\n[![Web](https://img.shields.io/badge/GitHub-Bredalis-14a1f0?style=for-the-badge\\\u0026logo=github\\\u0026logoColor=white\\\u0026labelColor=101010)](https://github.com/bredalis)\n\n---\n\n✨ If you like this project, don’t forget to give it a star!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbredalis%2Fkeras","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbredalis%2Fkeras","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbredalis%2Fkeras/lists"}