22 окт. 2023 г. · The multiplication of the gradients (slopes) of two perpendicular lines is equal to -1 because of the geometric relationship between these lines ... |
29 нояб. 2018 г. · Gradients in neural networks are calculated through a process called automatic differentiation (commonly known as back-propagation in this ... |
1 авг. 2018 г. · The multiplication of the gradients (slopes) of two perpendicular lines is equal to -1 because of the geometric relationship between these lines ... |
20 июн. 2016 г. · When the dot product of two unit vectors is —1, the two vectors are antiparallel to each other ie the angle between them is 180°. |
21 мар. 2015 г. · The “gradient” is the first derivative of a scalar function, so it's synonymous with “rate of change”, and (to a lesser extent) slope. |
13 июл. 2018 г. · In maths, matrices should have comparable size to multiply them. That's why we need to transpose the weights: RxQ x QxA= RxA. |
12 февр. 2023 г. · The gradient of a certain scalar field is the vector representing the direction and the magnitude of the maximal rate change and increase (in ... |
31 июл. 2019 г. · The gradient is defined as the vector whose dot products match the values of that exterior derivative. Since the exterior derivative is 0 on the ... |
14 февр. 2020 г. · It is scalar because it is the result of a scalar multiplication between two vectors: the div operator and the local field. |
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