Abstract
Dive into computer vision with deep learning through hands-on exercises using PyTorch. Learn to harness pre-trained Convolutional Neural Networks (CNNs) and optimize their performance through transfer learning. Using FiftyOne, you will visualize and analyze data augmentation strategies to fine-tune models effectively.
Perfect for developers seeking practical experience with deep learning, this workshop covers core concepts required for NVIDIA’s DLI Fundamentals certification. You will leave equipped with the skills to implement transfer learning and analyze augmentation impacts using open-source tools.
Objectives
– Implement transfer learning with pre-trained CNNs using PyTorch
– Analyze and visualize data augmentation impacts using FiftyOne
– Apply layer freezing strategies for effective model fine-tuning
– Gain foundational skills aligned with NVIDIA’s DLI certification requirements
Target Group
Developers, data scientists
Prerequisites
Laptop, Python programming experience and basic ML concepts