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DESCRIPTION:The field of deep learning is rapidly gaining traction in vario
 us domains and applications\, and it has become increasingly crucial for b
 oth students and educators to adopt this technology to tackle complex real
 -world problems. MATLAB and Simulink are powerful and flexible platforms t
 hat enable the development and automation of workflows related to data ana
 lysis\, deep learning\, artificial intelligence\, and simulation across a 
 wide range of industries and domains.\n\nThis presentation aims to introdu
 ce the audience to deep learning using MATLAB. During the session\, we wil
 l construct a neural network from scratch and customize a pre-existing net
 work using the MATLAB Deep Network Designer. This tool facilitates the int
 eractive development\, visualization\, and training of neural networks\, e
 nabling users to fine-tune parameters and generate code for the network. T
 he Deep Network Designer offers users the flexibility to choose between pr
 e-trained networks or create their own\, and its visual approach streamlin
 es the workflow\, resulting in a more efficient process.\n\nSpeaker(s): Jo
 n Loftin\n\nRoom 3316E Patrick Taylor Hall\, Baton Rouge\, Louisiana\, Uni
 ted States\, 70803-2804
LOCATION:Room 3316E Patrick Taylor Hall\, Baton Rouge\, Louisiana\, United 
 States\, 70803-2804
ORGANIZER:rmahro1@lsu.edu
SEQUENCE:2
SUMMARY:Deep Learning with MATLAB: A Visual and Intuitive Approach
URL;VALUE=URI:https://events.vtools.ieee.org/m/354972
X-ALT-DESC:Description: <br /><p>The field of deep learning is rapidly gain
 ing traction in various domains and applications\, and it has become incre
 asingly crucial for both students and educators to adopt this technology t
 o tackle complex real-world problems. MATLAB and Simulink are powerful and
  flexible platforms that enable the development and automation of workflow
 s related to data analysis\, deep learning\, artificial intelligence\, and
  simulation across a wide range of industries and domains.</p>\n<p>This pr
 esentation aims to introduce the audience to deep learning using MATLAB. D
 uring the session\, we will construct a neural network from scratch and cu
 stomize a pre-existing network using the MATLAB Deep Network Designer. Thi
 s tool facilitates the interactive development\, visualization\, and train
 ing of neural networks\, enabling users to fine-tune parameters and genera
 te code for the network. The Deep Network Designer offers users the flexib
 ility to choose between pre-trained networks or create their own\, and its
  visual approach streamlines the workflow\, resulting in a more efficient 
 process.</p>
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