Ekaterina Sirazitdinova, Data Scientist at NVIDIA, presents the “Getting Started with Vision AI Model Training” tutorial at the May 2021 Embedded Vision Summit.
In many modern vision and graphics applications, deep neural networks (DNNs) enable state-of-the-art performance for tasks like image classification, object detection and segmentation, quality enhancement and even new content generation. In this talk, Sirazitdinova demystifies basic concepts behind DNN training: from the definition of a deep neural network to critical parameters controlling deep learning model training.
Sirazitdinova examines problems typically encountered when training a model and shares best practices for their mitigation. Finally, she sheds some light on commonly used software frameworks.
See here for a PDF of the slides.
