Please book online here
Booking deadline: Monday 10 June 2019
This full-day hands-on Deep Learning fundamentals workshop is part of NVIDIA’s Deep Learning Institute. This course is a follow up to the Fundamentals of Deep Learning for Computer Vision. It covers Image Segmentation, Natural Language Captioning, and the combination of CNN and RNN for composite tasks. Competence in Python, and beginner’s level understanding of Deep Learning and CNNs are required.
The detailed agenda is:
- Image Segmentation with TensorFlow
- Natural Language Processing – Introducing RNNs
- Combining CNNs and RNNs for Image Captioning
- Challenge: Video Captioning
This course aims at the following learning targets:
- Introduce TensorFlow
- Compare Computer Vision Workflows
- Introduce Natural Language Processing
- Highlight the value of mid-network information
Increase the diversity of solvable problems with Deep Learning
All participants will receive access to the NVIDIA DLI cloud infrastructure as well as the official DLI training material for at least 3 months. Thus, you will be able to continue or revise the course on your own pace after the end of this workshop. Thus, anyone can attend and complete the workshop with even minimal prior experience. NVIDIA provides completion certificates after successful assessment of certain deliverables.
Every concept is delivered with an initial lecture, then demonstrated with hands-on exercises. During these exercises, participants are guided to implement the lectured techniques but are also free to experiment and expand using the NVIDIA computing cloud infrastructure.
Seating is limited to 40 and prior registration is required by NVIDIA to reserve sufficient hardware resources in their cloud. Please reserve your place by Monday, 10 June. Lunch will not be provided.
The workshop will be given by Dr Georgios Varisteas, Research Associate in the SEDAN Research Group, and a certified NVIDIA DLI instructor.