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Home / Deep Learning / Using Transfer Learning | Deep Learning for Engineers, Part 4

Using Transfer Learning | Deep Learning for Engineers, Part 4

This video introduces the idea of transfer learning. Transfer learning is modifying an existing deep network architecture and then retraining it to accomplish your task rather than the task it was original trained for. In this video, we walk through how transfer learning was used to develop a network that could recognize high five motions in acceleration data.

Check out these other links:

• MATLAB Deep learning examples: https://bit.ly/3deCj40 • 5 Reasons to use MATLAB for deep learning: https://bit.ly/2QlbNNc • Getting Started with Deep Network Designer: https://bit.ly/2Qof12l • Classify Time Series Using Wavelet Analysis and Deep Learning: https://bit.ly/3deq6wb • Pretrained Deep Neural Networks: https://bit.ly/2QgC7rQ