

# Deep Learning DNA: Surviving Architectures and Profound Principles

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**A journey into the core technologies and key architectures of deep learning.**

This package, `dldna`, provides code and resources accompanying the book "Deep Learning DNA: Surviving Architectures and Profound Principles". It delves into the essential techniques and pivotal architectures that have shaped the field of deep learning, offering a practical, hands-on complement to the book's conceptual explanations.

**Key Features:**

*   **Code Examples:**  Explore implementations of fundamental deep learning concepts and architectures.
*   **Focus on Efficiency:**  Learn how to build and train models with an emphasis on computational efficiency.
*   **Accompanying Material:**  This package is designed to be used alongside the book "Deep Learning DNA", providing interactive code to enhance your learning experience.

**Installation:**

```bash
pip install dldna
```
**Optional Dependencies**
```
pip install dldna[visualization] # Install with manim
pip install dldna[dev]  # Install with development tools
```

**Requirements:**

*   Python >= 3.7
*   NumPy >= 1.22
*   Pandas >= 1.5
*   Matplotlib >= 3.5
*   scikit-learn >= 1.0
*   SciPy >= 1.8
*   Transformers >= 4.30
*   Datasets >= 2.10
*   tqdm >= 4.60
*   Pillow >= 9.0
*   OpenCV-Python >= 4.5
*   TensorBoard >= 2.8
*   PyTorch >= 1.13
*   torchvision >= 0.14
*   torchaudio >= 0.13
*   (Optional) Manim (for visualization)

**Usage:**

```python
# Example usage (replace with a simple, illustrative example)
import dldna

# ... your code here ...

print(dldna.__version__)  # Check the installed version
```

**License:**

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License - see the [LICENSE](LICENSE) file for details.

**For more information, including the full book content and detailed explanations, please visit the GitHub repository:**

[https://github.com/Quantum-Intelligence-Frontier/dldna](https://github.com/Quantum-Intelligence-Frontier/dldna)

**Contact:**
For inquiries, please contact: baida21@naver.com

