Date
Venue
Organizer
Didier Barradas-Bautista
Visualization Core Laboratory
didier.barradasbautista@kaust.edu.sa
Register
Workshop Materials
Pre-requisites
PyTorch, an open-source Python library, unlocks the world of deep learning for aspiring data scientists and machine learning enthusiasts. Build powerful models for tasks like image recognition with convolutional neural networks (CNNs), or master language processing using recurrent neural networks (RNNs).
PyTorch empowers you to Craft flexible and customizable models and accelerate your journey with GPU. Leverage the raw power of graphics processing units (GPUs) to train and run models at blazing speeds, bringing your projects to life faster.
PyTorch goes beyond deep learning, offering a versatile toolkit for your data science journey. Seamlessly integrate PyTorch with popular libraries like NumPy and pandas to clean, transform, and visualize your data. Whether exploring new algorithms, testing hypotheses, or deploying models in production, PyTorch empowers you with the flexibility and functionality to excel.
Time | Topic | Speaker | |
---|---|---|---|
9:00am - 9:10am | Welcome | Didier Barradas-Bautista | |
9:10am - 10:15am | Introduction to pandas and numpy | Didier Barradas-Bautista | |
10:15am - 10:30am | Coffee Break | ||
10:30am - 12pm | Hands-On Session: Jupyter Notebooks Examples / Q&A | Didier Barradas-Bautista | |
10:15am - 10:30am | Coffee Break |