🤖 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.
- Description 📝
- Features 📦
- Installation 🛠️
- Usage 📘
- Technologies 🧪
- License 📜
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.
✔️ Simple and clear neural network examples ✔️ Sequential model implementation ✔️ Dense layer configuration ✔️ Weight inspection ✔️ Modular and readable code structure ✔️ PEP 8–styled scripts
1️⃣ Clone the repository:
git clone https://github.com/Bredalis/Keras.git2️⃣ Navigate into the project directory:
cd Keras3️⃣ Install dependencies:
pip install tensorflow kerasTo run any example:
1️⃣ Navigate to the script location:
cd folder_name2️⃣ Execute the Python file:
python script_name.pyEach file demonstrates a specific Deep Learning concept in isolation.
- Python 🐍
- TensorFlow 🧠
- Keras 🔬
- Neural Networks Fundamentals
- Deep Learning Concepts
This project is licensed under the 📜 GPLv3 (GNU General Public License V3.0)
😊 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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