NVIDIA DLI Workshop: Fundamentals of Deep Learning
Friday, March 21, 2025
9:00 am - 5:00 pm
Open to current UH students, faculty and staff. CougarNet login required to register.
Businesses globally leverage artificial intelligence (AI) for various challenges. For example, healthcare professionals use AI for precise diagnoses while retailers provide personalized customer experiences. Deep learning, employing multi-layered neural networks, achieves high accuracy in tasks like object detection, speech recognition, and language translation. This workshop offers hands-on training in computer vision and natural language processing, teaching how to train deep learning models from scratch.
Learning
Objectives:
By
participating
in
this
workshop,
you’ll:
- Learn the fundamental techniques and tools required to train a deep learning model.
- Gain experience with common deep learning data types and model architectures.
- Enhance datasets through data augmentation to improve model accuracy.
- Leverage transfer learning between models to achieve efficient results with less data and computation.
- Build confidence to take on your own project with a modern deep learning framework.
Price:
Free for UH affiliates (otherwise $500)
Prerequisites:
An
understanding
of
fundamental
programming
concepts
in
Python
such
as
functions,
loops,
dictionaries,
and
arrays.
Tools, Libraries and Frameworks:
Tensor flow, Keras, Pandas, NumPy
Assessment Type:
Skills-based coding assessments evaluate students’ ability to train a deep learning model to high accuracy.
Certificate:
Upon
successful
completion
of
the
assessment,
participants
will
receive
an
NVIDIA
DLI
certificate
to
recognize
their
subject
matter
competency
and
support
professional
career
growth.
Hardware
Requirements:
Desktop
or
laptop
computer
capable
of
running
the
latest
version
of
Chrome
or
Firefox.
Each
participant
will
be
provided
with
dedicated
access
to
a
fully
configured,
GPU-accelerated
workstation
in
the
cloud.
- Location
- Online
- Cost
- Free