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With the support of Intel, BeMyApp, and Metis, we are featuring two talks on deep learning.This event is co-promoted with Seattle D/A/ML here.
Talk 1 - Using Deep Learning forfor Image Segmentation in Keras
Gavin Patient attempted the Kaggle Carvana competition for his capstone project. The problem was to crop cars out of images for marketing purposes, though it was also a great excuse to read some deep learning papers on image segmentation and mess around with architectures in Keras. He is here to talk about the challenges of catching up with research and applying it to real world problems without a PhD to back it up.
About the Speaker
Gavin Patientcomes to Metis with a BS in both Mathematics and Physics from the University of Michigan. He has experience working inside research labs and testing software. Drawn to data science by the recent advances in machine learning, Gavin has become passionate about understanding the limits of the field and its applications. His final project utilizes deep learning methods to crop cars out of images.
Talk 2 - Using Deep Learning in Ad Photo Ranking
Marco Zamora regularly shoots and post-produces food photography for his family-owned small retail business's social media ads. He wanted to explore how a neural network could help streamline that process for him to publish more and higher quality ads with less effort.
The resulting classifier cut down manual processing time by about 80% for the first part of image post-production, using transfer learning on top of a VGG 16 ImageNet convolutional neural network built with Python and Keras on a GPU-equipped Google Compute instance.
In his talk he will go over the general constraints and design decisions, his experience wrangling with Keras, AWS, and Google's cloud services, and possible future steps in this problem domain.
About the Speaker
Marco Zamorais driven by investigating how things work in order to make them work for you. He has an academic and personal background in math and computer science, and a professional trajectory in data and analytics with experience in application lifecycle management for information technology and financial services.
Prior to joining Metis, he was a manager in Avanade, a subsidiary of Accenture, delivering solutions for large volume transactional data analysis and processing, and solutions for digital experiences. He also owns a full-service bakery with his wife. For his final project he wants to automate his business advertising post-production workflow with neural networks for image processing, to help him attract more customers with higher frequency, high-quality advertising.
6:30 - 7:00 - Meet and Greet
7:00 - 8:00 - Event Content
8:00 - 8:30 - Wind-down and Q&A
Metis(thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
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