Difference between revisions of "Gluon"

From
Jump to: navigation, search
m
m (Text replacement - "http:" to "https:")
 
(One intermediate revision by the same user not shown)
Line 5: Line 5:
 
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
 
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
 
}}
 
}}
[http://www.youtube.com/results?search_query=Gluon+deep+learning+artificial+intelligence Youtube search...]
+
[https://www.youtube.com/results?search_query=Gluon+deep+learning+artificial+intelligence Youtube search...]
[http://www.google.com/search?q=Gluon+deep+learning+artificial+intelligence+ML+artificial+intelligence ...Google search]
+
[https://www.google.com/search?q=Gluon+deep+learning+artificial+intelligence+ML+artificial+intelligence ...Google search]
  
 
* [[Libraries & Frameworks]]
 
* [[Libraries & Frameworks]]
  
In just a few lines of Gluon code, you can build [[Linear Regression]], [[(Deep) Convolutional Neural Network (DCNN/CNN)]] and recurrent [[Long Short-Term Memory (LSTM)]]s for object detection, [[Speech Recognition| speech recognition], recommendation, and personalization.
+
In just a few lines of Gluon code, you can build [[Linear Regression]], [[(Deep) Convolutional Neural Network (DCNN/CNN)]] and recurrent [[Long Short-Term Memory (LSTM)]]s for object detection, [[Speech Recognition| speech recognition]], recommendation, and personalization.
  
 
<youtube>me1qOzSg8MU</youtube>
 
<youtube>me1qOzSg8MU</youtube>

Latest revision as of 14:55, 28 March 2023

Youtube search... ...Google search

In just a few lines of Gluon code, you can build Linear Regression, (Deep) Convolutional Neural Network (DCNN/CNN) and recurrent Long Short-Term Memory (LSTM)s for object detection, speech recognition, recommendation, and personalization.