Gradient vanishing means the gradient of neural networks dur…

Gradient vanishing means the gradient of neural networks during training is too small or too large (unstable) ; therefore, neural networks cannot learn more effectively. Which one is not a method or model to mitigate the gradient vanishing problem in neural networks? 

Private key is just a random number. The public key is mathe…

Private key is just a random number. The public key is mathematically linked to the private key. If currency is transferred, the sender uses a digital signature algorithm to sign the token over to someone else’s address.    It is easy to go from the private key to the public key – but very difficult to go from public to private. A message needs to go from Sender to Receiver Receiver gives the Sender a lock Sender locks the message (ciphertext) and transmits to Receiver Only the Receiver can decrypt because they have the key The lock is (1)_______________ The key to open the lock is (2)__________ (3) ___________ mathematically reveals that the sender has the private key associated with the senders public address. 

“I don’t want to fall in either ethical ditch” says another…

“I don’t want to fall in either ethical ditch” says another intrepid PBA graduate. “I want to find the Middle Path like the Buddha, the Narrow Way like Jesus, and avoid extremes.” This PBA graduate is seeking to live by this position in Aristotelian Ethics: