Assertion: neural network's input | /r/HasProperty | independent of each other
Facets:
value: in other neural networks
type: OTHER
Source sentences:
text: In a general neural network, an input is processed through a number of layers and an output is produced, with an assumption that two successive inputs are independent of each other.
text: In a normal neural network it is assumed that all inputs and outputs are independent of each other.
text: In traditional neural networks, all the inputs and outputs are independent of each other, but in cases like when it is required to predict the next word of a sentence, the previous words are required and hence there is a need to remember the previous words.
text: Both inputs and outputs are independent of each other, but in some cases, it required to predict the next word of the sentence.
text: In a traditional neural network we assume that all inputs are independent of each other.
text: In other neural networks, all the inputs are independent of each other.