Fundamentals of Deep Learning for Computer Vision with NVIDIA

Wed, Oct 17, 2018, 9:00 am to 4:00 pm
PCTS, 407 Jadwin Hall
Center for Statistics and Machine Learning
Princeton Research Computing

This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to building and deploying deep learning applications for image classification and object detection, followed by modifying your neural networks to improve their accuracy and performance, and finish by implementing the workflow that you have learned on a final project.

At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own. Additionally, you will understand the fundamentals of deep learning and be able to:

● Implement common deep learning workflows, such as image classification and object detection

● Experiment with data, training parameters, network structure, and other strategies to increase performance and capability of neural networks

● Integrate and deploy neural networks in your own applications to start solving sophisticated real-world problems


Please register for this course: