Why does it consume less computing power in comparision to other DL architectures

Question

Accepted Answer

DL architectures like CNNs require more computing power due to their complex structure and operations.

The architecture of Ai Ml is simpler compared to other DL architectures like CNNs.
It uses a single layer of neurons which reduces the number of computations required.
It also uses a linear activation function which is computationally less expensive.
Ai Ml is suitable for simpler tasks like linear regression and classification.
In contrast, CNNs are used for complex tasks like image recognition and require more computing power.
Ai Ml's simplicity makes it faster and more efficient for simpler tasks.

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