https://github.com/bredalis/keras

🌟The use of Keras in DL 🌟
https://github.com/bredalis/keras

ia keras librery ml models python tensorflow

Last synced: about 1 month ago
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🌟The use of Keras in DL 🌟

• Host: GitHub
• URL: https://github.com/bredalis/keras
• Owner: Bredalis
• License: gpl-3.0
• Created: 2024-05-25T14:00:31.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2024-11-13T19:25:27.000Z (over 1 year ago)
• Last Synced: 2025-09-14T07:22:26.717Z (9 months ago)
• Topics: ia, keras, librery, ml, models, python, tensorflow
• Language: Python
• Homepage:
• Size: 21.5 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
💻 My First DL Programs 💻




  





  





  











🤖 My First DL Programs is a collection of beginner-friendly Deep Learning experiments built using Python, TensorFlow, and Keras.

This repository contains simple examples that demonstrate how neural networks work, including dense layers, weight initialization, and sequential models.

The goal of this project is to understand the foundations of Deep Learning through clean, modular, and well-structured code.



---

## Table of Contents 🧾

* Description 📝

* Features 📦

* Installation 🛠️

* Usage 📘

* Technologies 🧪

* License 📜

---

## Description 📝

This repository explores the core concepts of Deep Learning using TensorFlow and Keras.

The examples included demonstrate:

* 🧠 Dense layer creation

* ⚙️ Weight initialization

* 🔗 Sequential model architecture

* 📊 Forward pass execution

* 🏗️ Layer stacking and removal

* 📄 Model summary visualization

The project is structured to help beginners understand how neural networks are built and executed step by step.

---

## Features 📦

✔️ Simple and clear neural network examples

✔️ Sequential model implementation

✔️ Dense layer configuration

✔️ Weight inspection

✔️ Modular and readable code structure

✔️ PEP 8–styled scripts

---

## Installation 🖥️

1️⃣ Clone the repository:

```bash

git clone https://github.com/Bredalis/Keras.git

```

2️⃣ Navigate into the project directory:

```bash

cd Keras

```

3️⃣ Install dependencies:

```bash

pip install tensorflow keras

```

---

## Usage ⚙️

To run any example:

1️⃣ Navigate to the script location:

```bash

cd folder_name

```

2️⃣ Execute the Python file:

```bash

python script_name.py

```

Each file demonstrates a specific Deep Learning concept in isolation.

---

## Technologies 🧪

* Python 🐍

* TensorFlow 🧠

* Keras 🔬

* Neural Networks Fundamentals

* Deep Learning Concepts

---

## License 📜

This project is licensed under the 📜 

GPLv3 (GNU General Public License V3.0) 

---

## 👩‍💻 Author

 



[![Github](https://img.shields.io/github/followers/Bredalis?label=Follow\&style=social)](https://github.com/Bredalis)

![GitHub Followers](https://img.shields.io/github/stars/bredalis?style=social)



  



😊 I am a programmer passionate about technology, artificial intelligence, and continuous learning.

I enjoy exploring AI concepts and transforming theory into practical experiments.

#python #deeplearning #ai 🚀

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## ⭐ Check out my GitHub profile

[![Web](https://img.shields.io/badge/GitHub-Bredalis-14a1f0?style=for-the-badge\&logo=github\&logoColor=white\&labelColor=101010)](https://github.com/bredalis)

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✨ If you like this project, don’t forget to give it a star!