Computer Science, asked by jyotikatandon9632, 6 months ago

recalls an output
given an input in one feedforward
pass
O Static networks
O Dynamic networks
O Recurrent networks
O None​

Answers

Answered by siddhantRawat
2

Answer:

none

Explanation:

this is the correct answer

Answered by aburaihana123
0

Answer:

Static network recalls an output gives an input in one feed forward pass.

Explanation:

Static network:

  • A device's IP address does not change when given a static IP address.
  • An IP address that is assigned to your network devices continuously by your ISP and remains constant even after a device reboot is known as a static IP address.
  • There are commonly two types of static IP addresses: IPv4 and IPv6.

Dynamic networks:

  • Dynamic networks are networks that change over time; their vertices are frequently not binary but rather signify the likelihood that two nodes may connect to one another.
  • It is frequently required to use statistical techniques or computer simulations to investigate how such networks evolve, adapt, or react to outside influence.

Recurrent networks:

  • Recurrent neural networks (RNNs) are a sort of neural network in which the results of one step are fed into the next stage's input.
  • RNN are derived from feedforward networks, behave in a manner like to that of human brains.
  • Recurrent neural networks are able to predict outcomes in sequential data that other algorithms cannot.

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