MACHINE LEARNING

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APPLICATION OF SUPERVISED LEARNING

ARTIFICIAL INTELLIGENCE

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
____ is when a neural network adjusts it’s weightings inside to try and improve it’s accuracy after each run through with the all training images.
A
forward propagation
B
back propagation
C
Either A or B
D
None of the above
Explanation: 

Detailed explanation-1: -Backpropagation is the essence of neural net training. It is the practice of fine-tuning the weights of a neural net based on the error rate (i.e. loss) obtained in the previous epoch (i.e. iteration.) Proper tuning of the weights ensures lower error rates, making the model reliable by increasing its generalization.

Detailed explanation-2: -The easy way to reduce overfitting is by increasing the input data so that neural network training is on more high-dimensional data. A much as you increase the data, it will stop learning noise.

Detailed explanation-3: -12. Backpropagation is a learning technique that adjusts weights in the neural network by propagating weight changes. Explanation: Backward from sink to source.

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