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About DMBI-MMK-Lec-29-CIET-Neural Network-Part-IV
The document discusses sigmoid neurons as an improvement over perceptrons. It notes that perceptrons use a harsh thresholding logic to make predictions, which can result in small differences in the input leading to different predictions. Sigmoid neurons are proposed to address this by using a sigmoid activation function that produces a continuous value between 0 and 1 rather than a discrete prediction. This allows the model to make predictions in a smoother, less binary manner. The document uses the example of predicting if a user will like a movie based on its critic rating to illustrate how sigmoid neurons can provide a more gradual prediction than perceptrons.
Detailed Information
| Author: | ['anant_nimkar9243'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 473 |
| Language: | English |
| Format: | |
| Price: | FREE |
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