Understanding Transfer Learning
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Understanding Transfer Learning
Transfer learning reuses/leverages existing ML models to solve a new problem. A transfer learning strategy is helpful if you have too little data to train a model from scratch. Read this post to find out more details.
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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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