Using Transfer Learning | Deep Learning for Engineers, Part 4

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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.

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Great video series. Wait for next one.

namnguyenhuu

more of these videos, please! Well done! thank you.

sinaabd

thank you so much for this interesting series, please we need more vedios about application in real life keep going dear.

mahmoudabdulfattah

Hi, I have a question, why don't you use the raw data from the accelerometer (consisting of 3 time-domain signals) as the input for the architecture? Thank you

asrafmohamedmoubark

Thank you for your amazing videos! Could you maybe upload the code you were using for this high five example? Im also trying to connect a arduino to matlab and use the data from there for deep learning. Would be very helpful.

maxmusterman

Hi @brain, it's me again. I am wondering why you need to transfer the raw plot(the 3 colours strings) to the scalogram? You did mention about what the scalogram is good about, but what's the necessity for not using the raw plot images???

WinstonFanWin

Great video. Just wondering how frequently do you take the sample data from your sensors?

WinstonFanWin

This was great! Could you include the code you used to collect samples please?

davidjhyatt

i have a probleme in my MATLAB, the stateflow block doesn't work and i recieve this massage :
" The current directory 'c:\program files\matlab\r2013a\bin' is reserved for MATLAB files.

Please change your current directory to a writeable directory outside of the MATLAB installation area. "

hamzamouhsine

Very cool video Brian!
Is there a way to export this trained network to a file or a memory in combination with the arduino itself without a pc?

Michael_Meyer

Sir, can you share your codes in 10.42 with us? please

zeynepmiracol

hi Brain, just wondering is the code available on Github? I would like to learn the code if it's open source. Cheers

WinstonFanWin

I can imagine the robot slap someone and think it is doing a high five

oldcowbb

Sir pleass i need call you to deal with you pleass

drdr

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