Welcome to the PyTorch Deep Learning Course repository! This course is designed to take you from zero to a hero in the field of deep learning using PyTorch. Whether you are a beginner or have some experience, this course will provide you with the knowledge and hands-on experience to master the art of deep learning.
In this repository, you will find all the resources and materials needed to follow along with the course, including code examples, assignments, and documentation. Let's embark on this exciting journey to explore the world of deep learning with PyTorch.
- Some knowledge is required to keep along with the course : { python , pandas , numpy , basic Algebra and matrix multiplication }
Having these requirements will help alot in the course
These instructions will guide you through setting up your environment and getting started with the course.
Before you begin, ensure you have the following prerequisites installed:
- Python (3.6+)
- PyTorch
- Jupyter Notebook
- NumPy
- Matplotlib
- Other relevant libraries (detailed in the curriculum)
You can install most of these dependencies using pip:
pip install torch torchvision numpy matplotlib
or Use Google Collab as your Editor 🌟💻🚀
The main course content is organized in Jupyter notebooks. You can start exploring the course materials by opening the notebooks in the notebooks directory. Follow along with the lessons, complete assignments, and dive deep into the world of PyTorch and deep learning.
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Introduction to Deep Learning with PyTorch
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Neural Networks and Perceptrons
- Figma file link https://www.figma.com/file/VXuGMjXYPMYwXYQxecpWBq/getting-started-with-ML---pytorch?type=whiteboard&node-id=0-1&t=Axq7hOJhk5EDTEpU-0
Having trouble or questions ?
Write them in discussion tab