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DESCRIPTION:https://rit.zoom.us/j/91216440248\n\nDeep Neural Networks (DNN)
  are a powerful tool for computer vision\, signal processing\, and natural
  language processing tasks. The last few years have seen the development o
 f a plethora of software tools for the development of DNNs. Many of these 
 tools provide a library of building blocks that the engineer or researcher
  can assemble in whatever form they desire. However\, there are some commo
 n use cases that are implemented nearly identically every time. This leads
  to a lot of boilerplate code that slows down development. In this tutoria
 l we discuss using Tensorflow 2.0 with the Keras API to enable rapid proto
 typing of DNNs with a minimum of code. Within the hour we will have severa
 l functioning Convolutional Networks\, an efficient data pipeline\, traini
 ng and prediction\, and logging. Some basic knowledge of Deep Learning and
  Python is assumed\, as this tutorial focuses on the tool.\n\nSpeaker(s): 
 Miguel\, \n\nAgenda: \nJoin Zoom Meeting\n\nhttps://rit.zoom.us/j/91216440
 248\n\nMeeting ID: 912 1644 0248\n\nOne tap mobile\n\n+16465588656\,\,9121
 6440248# US (New York)\n\n+13126266799\,\,91216440248# US (Chicago)\n\nDia
 l by your location\n\n+1 646 558 8656 US (New York)\n\n+1 312 626 6799 US 
 (Chicago)\n\n+1 346 248 7799 US (Houston)\n\n+1 669 900 6833 US (San Jose)
 \n\n+385 1300 0988 Croatia\n\n+385 1777 6333 Croatia\n\nMeeting ID: 912 16
 44 0248\n\nFind your local number: https://rit.zoom.us/u/abKqiXYHsJ\n\nJoi
 n by SIP\n\n91216440248@zoomcrc.com\n\nJoin by H.323\n\n162.255.37.11 (US 
 West)\n\n162.255.36.11 (US East)\n\n221.122.88.195 (China)\n\n115.114.131.
 7 (India Mumbai)\n\n115.114.115.7 (India Hyderabad)\n\n213.19.144.110 (EME
 A)\n\n103.122.166.55 (Australia)\n\n209.9.211.110 (Hong Kong)\n\n64.211.14
 4.160 (Brazil)\n\n69.174.57.160 (Canada)\n\n207.226.132.110 (Japan)\n\nMee
 ting ID: 912 1644 0248\n\nRochester Institute of Technology\, Rochester\, 
 New York\, United States\, 14623
LOCATION:Rochester Institute of Technology\, Rochester\, New York\, United 
 States\, 14623
ORGANIZER:rwpeec@rit.edu
SEQUENCE:1
SUMMARY:Fast Deep Learning Prototypes with Tensorflow and Keras
URL;VALUE=URI:https://events.vtools.ieee.org/m/229145
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;a href=&quot;https://rit.zoom.us/j/91216440248
 &quot;&gt;https://rit.zoom.us/j/91216440248&lt;/a&gt;&lt;/p&gt;\n&lt;p&gt;Deep Neural Networks (DNN)
  are a powerful tool for computer vision\, signal processing\, and natural
  language processing tasks. The last few years have seen the development o
 f a plethora of software tools for the development of DNNs. Many of these 
 tools provide a library of building blocks that the engineer or researcher
  can assemble in whatever form they desire. However\, there are some commo
 n use cases that are implemented nearly identically every time. This leads
  to a lot of boilerplate code that slows down development. In this tutoria
 l we discuss using Tensorflow 2.0 with the Keras API to enable rapid proto
 typing of DNNs with a minimum of code. Within the hour we will have severa
 l functioning Convolutional Networks\, an efficient data pipeline\, traini
 ng and prediction\, and logging. Some basic knowledge of Deep Learning and
  Python is assumed\, as this tutorial focuses on the tool.&lt;br /&gt; &lt;/p&gt;&lt;br /
 &gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;Join Zoom Meeting&lt;/p&gt;\n&lt;p&gt;&lt;a href=&quot;https://rit.zoo
 m.us/j/91216440248&quot;&gt;https://rit.zoom.us/j/91216440248&lt;/a&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;
 /p&gt;\n&lt;p&gt;Meeting ID: 912 1644 0248&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;One tap mobile&lt;/
 p&gt;\n&lt;p&gt;+16465588656\,\,91216440248# US (New York)&lt;/p&gt;\n&lt;p&gt;+13126266799\,\,
 91216440248# US (Chicago)&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Dial by your location&lt;/p
 &gt;\n&lt;p&gt;+1 646 558 8656 US (New York)&lt;/p&gt;\n&lt;p&gt;+1 312 626 6799 US (Chicago)&lt;/
 p&gt;\n&lt;p&gt;+1 346 248 7799 US (Houston)&lt;/p&gt;\n&lt;p&gt;+1 669 900 6833 US (San Jose)&lt;
 /p&gt;\n&lt;p&gt;+385 1300 0988 Croatia&lt;/p&gt;\n&lt;p&gt;+385 1777 6333 Croatia&lt;/p&gt;\n&lt;p&gt;Meet
 ing ID: 912 1644 0248&lt;/p&gt;\n&lt;p&gt;Find your local number: &lt;a href=&quot;https://rit
 .zoom.us/u/abKqiXYHsJ&quot;&gt;https://rit.zoom.us/u/abKqiXYHsJ&lt;/a&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\
 ;&lt;/p&gt;\n&lt;p&gt;Join by SIP&lt;/p&gt;\n&lt;p&gt;&lt;a href=&quot;mailto:91216440248@zoomcrc.com&quot;&gt;912
 16440248@zoomcrc.com&lt;/a&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Join by H.323&lt;/p&gt;\n&lt;p&gt;162
 .255.37.11 (US West)&lt;/p&gt;\n&lt;p&gt;162.255.36.11 (US East)&lt;/p&gt;\n&lt;p&gt;221.122.88.19
 5 (China)&lt;/p&gt;\n&lt;p&gt;115.114.131.7 (India Mumbai)&lt;/p&gt;\n&lt;p&gt;115.114.115.7 (Indi
 a Hyderabad)&lt;/p&gt;\n&lt;p&gt;213.19.144.110 (EMEA)&lt;/p&gt;\n&lt;p&gt;103.122.166.55 (Austral
 ia)&lt;/p&gt;\n&lt;p&gt;209.9.211.110 (Hong Kong)&lt;/p&gt;\n&lt;p&gt;64.211.144.160 (Brazil)&lt;/p&gt;\
 n&lt;p&gt;69.174.57.160 (Canada)&lt;/p&gt;\n&lt;p&gt;207.226.132.110 (Japan)&lt;/p&gt;\n&lt;p&gt;Meeting
  ID: 912 1644 0248&lt;/p&gt;
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