Teacher forcing

Teacher forcing is a strategy for training recurrent neural networks that uses model output from a prior time step as an input.

... the decoder learns to generate targets[t+1...] given targets[...t], conditioned on the input sequence.

https://machinelearningmastery.com/teacher-forcing-for-recurrent-neural-networks/

미국 터키?

https://news.naver.com/main/tool/print.nhn?oid=020&aid=0003164384
http://archive.is/inJbc

1/e

Understanding exponentially weighted averages



from Understanding Exponentially Weighted Averages (C2W2L04)
 https://www.youtube.com/watch?v=NxTFlzBjS-4

RMSprop

So that's RMSprop, and similar to momentum, has the effects of damping out the oscillations in gradient descent, in mini-batch gradient descent. And allowing you to maybe use a larger learning rate alpha. And certainly speeding up the learning speed of your algorithm.

from Andrew Ng's lecture
https://www.youtube.com/watch?v=_e-LFe_igno

Setup Bluetooth through Terminal

터미널에서 bluetooth 페어링하기  (블루투스 마우스)
https://www.cnet.com/how-to/how-to-setup-bluetooth-on-a-raspberry-pi-3/

or

http://archive.is/tpEHO