Answer:
The back propagation algorithm causes the network to settle into a stable state where it can correctly respond, to any desired degree of accuracy, to all inputs in the training set.
Explanation:
Back propagation algorithm is a part of the learning of a neural network. In a simple neural network setting at each iteration;
- The network<em> </em>assumes <em>random weights</em> at each network layer and passes the value to the next trough an <em>activation function</em>.
- Then a loss function is calculated by comparing the distace of the final value with the label value using a predetermined distance metric.
- The weights are optimized trough back propagation
Thus, back propagation algorithm used to reach the final weights of the neural network, so that it can work more accurately.
Answer:
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Answer:
a.
Explanation:
you can size and position a shape but not an icon
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