y = mx + c | Negative gradient explained | 2 GCSE marks
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The individual values in the gradient vector of the cost function represent the direction and magnitude of change needed for each weight/bias. This works out as a positive gradient value suggests that increasing the weight or bias will increase the cost, while a negative gradient value suggests that decreasing the weight or bias will reduce the cost. Credit: @3blue1brown Join our AI community for more posts like this @aibutsimple 🤖 #datascience #ml #deeplearning #gpt #neuralnetworks
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The individual values in the gradient vector of the cost function represe…
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