NVIDIA Fundamentals of Deep Learning Workshop
Friday, May 3, 2024
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 and speech recognition. This workshop offers hands-on training in computer vision and natural language processing, teaching how to build deep learning models effectively.
Price:
Normal
cost
is
$500/per
attendee,
but
Nvidia
is
waving
the
fee
specifically
for
UH.
Learning
Objectives:
By
participating
in
this
workshop,
you’ll:
1)
Learn
the
fundamental
techniques
and
tools
required
to
train
a
deep
learning
model.
2)
Gain
experience
with
common
deep
learning
data
types
and
model
architectures.
3)
Enhance
datasets
through
data
augmentation
to
improve
model
accuracy.
4)
Leverage
transfer
learning
between
models
to
achieve
efficient
results
with
less
data
and
computation.
5)
Build
confidence
to
take
on
your
own
project
with
a
modern
deep
learning
framework.
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.
Prerequisites:
An
understanding
of
fundamental
programming
concepts
in
Python
such
as
functions,
loops,
dictionaries,
and
arrays.
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