Date: Monday, May 18, 2020 from 9:00 am to 5:00 pm
Location: The Embedded Vision Summit, Santa Clara, California
Fee: $995 in advance, $1095 day-of
Interested in diving into PyTorch for computer vision? In this course, you will start with the basics of deep learning and neural networks using the Python-based PyTorch framework. You’ll then progress to multi-layer perceptron networks for image classification, and by the end of the day, you’ll be comfortable using PyTorch with convolutional neural networks (CNNs) for computer vision applications. Rather than focusing on theory, this very hands-on training will allow you to get the applicable experience and confidence you need to start using PyTorch right away.
The class covers deep learning for computer vision applications using PyTorch. We assume that:
To make sure you’re up to speed on Python, please review sections 1-5 of this online Python tutorial before class: https://docs.python.org/3/tutorial/
Introduction [ 1 hour ]
Basics of NumPy and PyTorch [ 1 hour ]
Basics of Optimization [ 1 hour ]
Neural Network Basics [ 1 hour ]
Multi-Layer Perceptron [ 1 hour ]
Convolutional Neural Network [ 2-3 hour ]
When you sign up for this training, remember to also sign up for the Embedded Vision Summit. The Summit gives you access to two additional days of learning after your OpenCV training. You’ll learn from 90+ presentations, see 100+ demos and have the opportunity to talk with over 1,400 fellow innovators building or enabling vision in their products.
A previous Summit attendee recently told us, “This is the one event I always make time to attend.” So what keeps people coming back to the #EmbeddedVisionSummit? There are many reasons, but here are the top 4. Info and reg: http://bit.ly/2TkkLZ0 #evs20 #computervision #ai4
We are delighted to have a new speaker! Dive into data learning with @PeiZhang from @CarnegieMellon at the Summit! Info and reg: https://embeddedvisionsummit.com
#bigdata #smalldata #deeplearning #dl #ml #machinelearning #data #embeddedsystems #sensortechnology