Isn't this table for perceptron of AND gate wrong for B?

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The discussion centers on the use of updated weights and bias in a model, specifically in the context of a batch size of one. The original question seeks clarification on why updated bias is utilized instead of the original bias. The response emphasizes the importance of presenting one's own calculations if there are perceived errors in the model's workings, rather than leaving others to infer the intended corrections. This highlights the need for clear communication and detailed explanations in discussions about model parameters and calculations.
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Because we use updated bias and not the original bias? Please clear my confusion
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The model answer appears to use the updated weights and bias in columns w_1, w_2 and B, Edit: which is what I would expect (i.e. batch size = 1).

If you think some workings are wrong then you should present your own workings and point out the difference, don't leave us to guess at what you think the answer should be.
 
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