What Is Transfer Learning? A Guide for Deep Learning | Built In
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What Is Transfer Learning? A Guide for Deep Learning | Built In
Transfer learning refers to applying a pre-trained model to another related task. Discover why the practice has become so popular in machine learning.
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What is Transfer Learning for Deep Learning?
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✋ High-Fives and Deep Learning! ✋ Brian’s project is all about recognizing high-fives using a MEMS accelerometer and Arduino. By applying transfer learning with GoogleNet, he turns acceleration data into scalograms and trains a neural network to identify those high-five patterns. Want to see how you can use transfer learning for your own pattern recognition projects? Check it out here: https://spr.ly/6184twYB6 #DeepLearning #AI #Arduino | MATLAB
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✋ High-Fives and Deep Learning! ✋ Brian’s project is all about recognizing high-fives using a MEMS accelerometer and Arduino. By applying transfer learning with GoogleNet, he turns acceleration data into scalograms and trains a neural network to identify those high-five patterns. Want to see how you can use transfer learning for your own pattern recognition projects? Check it out here: https://spr.ly/6184twYB6 #DeepLearning #AI #Arduino | MATLAB
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Transfer of Learning Theories
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✋ High-Fives and Deep Learning! ✋ Brian’s project is all about recognizing high-fives using a MEMS accelerometer and Arduino. By applying transfer learning with GoogleNet, he turns acceleration data into scalograms and trains a neural network to identify those high-five patterns. Want to see how you can use transfer learning for your own pattern recognition projects? Check it out here: https://spr.ly/6184twYB6 #DeepLearning #AI #Arduino | MATLAB
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