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Join Microsoft senior cloud developer advocate Paige Bailey at the next Nike Tech Talks on March 22! Paige will give a talk titled, Predicting Clothing Styles with Deep Transfer Learning.
Food and beverages will be served and there will be time to network before and after the talk.
RSVP: https://niketechtalk-mar2018.splashthat.com/
ABSTRACT:
In this talk, we'll use image recognition to take an existing deep learning model and adapt it to a specialized domain (namely: guessing whether articles of clothing are preppy, sporty, punk, etc.). Instead of using a more intensive data classifier, like a Residual Network, we'll use deep transfer learning to overcome a data scarcity problem and build on top of an existing model.
Once the transfer learning model has been trained, we'll pack it up into a dockerized container (specifying inputs and outputs, as well as a score.py file), and then call it as a web service. We will also discuss a #DataOps process for refreshing the model as trends change over time. |
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Join Microsoft senior cloud developer advocate Paige Bailey at the next Nike Tech Talks on March 22! Paige will give a talk titled, Predicting Clothing Styles with Deep Transfer Learning.
Food and beverages will be served and there will be time to network before and after the talk.
RSVP: https://niketechtalk-mar2018.splashthat.com/
ABSTRACT:
<h2><a title="حالات حب" href="https://rebrand.ly/Love-whatsapp">حالات حب</a></h2>
In this talk, we'll use image recognition to take an existing deep learning model and adapt it to a specialized domain (namely: guessing whether articles of clothing are preppy, sporty, punk, etc.). Instead of using a more intensive data classifier, like a Residual Network, we'll use deep transfer learning to overcome a data scarcity problem and build on top of an existing model.
Once the transfer learning model has been trained, we'll pack it up into a dockerized container (specifying inputs and outputs, as well as a score.py file), and then call it as a web service. We will also discuss a #DataOps process for refreshing the model as trends change over time. |