Deep Learning Journey

Welcome to my Deep Learning Journey repository! Here, I'll document everything I learn about Deep Learning, step by step. Feel free to follow along, learn, and contribute.

About Me

I am a Computer Science student currently in my 7th semester. I am passionate about learning Deep Learning and excited to share my progress with you.

Repository Structure

This repository is organized as follows:

notebooks/: Jupyter notebooks containing my learning materials, exercises, and projects.

datasets/: Sample datasets used in the notebooks.

models/: Trained models and model architectures.

scripts/: Python scripts for various Deep Learning tasks.

resources/: Useful resources, links, and references.

Contents

Introduction to Deep Learning

Basics of neural networks

Activation functions

Loss functions

Deep Learning Frameworks

Introduction to TensorFlow and Keras

Building and training models

Convolutional Neural Networks (CNNs)

Understanding convolutions

Implementing CNNs for image classification

Recurrent Neural Networks (RNNs)

Sequence modeling

Implementing RNNs for text and time series data

Advanced Topics

Transfer Learning

Generative Adversarial Networks (GANs)

Hyperparameter tuning

Explore the notebooks:

Open the Jupyter notebooks in the notebooks/ directory to follow along with my learning journey.

Contributions

Contributions are welcome! If you have any suggestions, improvements, or resources to share, feel free to create a pull request or open an issue.

Contact

Feel free to reach out if you have any questions or suggestions.

Email: zaryabahmadkhan458@gmail.com

LinkedIn: https://www.linkedin.com/in/zaryab-ahmad-khan-32a00a233/details/experience/

Let's learn and grow together!