Transfer Learning in 10 Lines of Code | Deep Learning with MATLAB
Transfer learning is a deep learning approach in which a model that has been trained for one task is used as a starting point for a model that performs another similar task. Transfer learning is commonly used for image classification, computer vision, and natural language processing.
Learn how to perform transfer learning in 10 lines of MATLAB code. More specifically, learn how to modify the pretrained GoogLeNet network to classify food images. MATLAB provides built-in functions that allow you to easily modify and retrain a pretrained network, achieving high classification accuracy. You will also learn how to use the same transfer learning workflow as part of a visual inspection system.
Check out all of our videos about using AI with MATLAB and Simulink: https://www.youtube.com/playlist?list=PLn8PRpmsu08r4JYrvGajKMH_QLRQK6RxX
Related Resources:
- What Is Transfer Learning?: https://bit.ly/3O8O9Os
- Retrain Neural Network to Classify New Images: https://bit.ly/3Z1HR9J
- Pretrained Deep Learning Models: https://bit.ly/4hMeRtQ
- Automating Visual Inspection with AI and PLC: https://bit.ly/3CAyzbS
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Get a free product trial: https://goo.gl/ZHFb5u
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See what's new in MATLAB and Simulink: https://goo.gl/pgGtod
© 2024 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
Transfer learning is a deep learning approach in which a model that has been trained for one task is used as a starting point for a model that performs another similar task. Transfer learning is commonly used for image classification, computer vision, and natural language processing.
Learn how to perform transfer learning in 10 lines of MATLAB code. More specifically, learn how to modify the pretrained GoogLeNet network to classify food images. MATLAB provides built-in functions that allow you to easily modify and retrain a pretrained network, achieving high classification accuracy. You will also learn how to use the same transfer learning workflow as part of a visual inspection system.
Check out all of our videos about using AI with MATLAB and Simulink: https://www.youtube.com/playlist?list=PLn8PRpmsu08r4JYrvGajKMH_QLRQK6RxX
Related Resources:
– What Is Transfer Learning?: https://bit.ly/3O8O9Os
– Retrain Neural Network to Classify New Images: https://bit.ly/3Z1HR9J
– Pretrained Deep Learning Models: https://bit.ly/4hMeRtQ
– Automating Visual Inspection with AI and PLC: https://bit.ly/3CAyzbS
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Get a free product trial: https://goo.gl/ZHFb5u
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See what’s new in MATLAB and Simulink: https://goo.gl/pgGtod
© 2024 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
