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Tell us about your successes, failures, and your own machine learning projects. The applications are limited only by your imagination. This example is deliberately clean and sparse to keep it easy to understand and quick to train even on a Pi Zero. However, depending on the examples it might learn to recognise coincidental things, such as.. There is a lot of room for improvement here so you can experiment to try and improve your results. This video introduction shows what you will be able to achieve. If you keep the preview window open during training you will notice that the lighting and color balance fluctuates rapidly.
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Although fun, you will quickly see some of the limitations of this approach.. Teaching a neural network to reliably recognize gestures from every human at every location and in every light condition on the planet presents a huge challenge that requires lots of varied examples and very careful training. Neural networks can learn to detect and generalize small gestural changes that only affect a few dozen pixels on the screen, but it takes much more data and training time than we want to spend. This will force the network to assume the difference in those cases is, for example how your clothing is folded, or the reflection of light on your glasses. Did you know that you can train AI on your Raspberry Pi without any extra hardware or accelerators.
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However, teaching a network to recognize your gestures in your environment is very easy. This iframe is youTube video. There is a lot more that can be done than cheering. There is a lot of room for improvement here so you can experiment to try and improve your results.
Cindy from Fairfield Age: 31. looking for a guy for regular and pleasant meetings.