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Deep Learning Matrix Calculus
2022-10-12
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Deep Learning
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Jacobian
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Gradient
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梯度
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深度学习
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自动求导
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Autodiff
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autograd
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雅各比矩阵
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全微分
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梯度下降
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Gradient Descend
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Chain Rule
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链式求导法则
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线性近似
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Local Linear Approximation
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jax
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Pytorch
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Tensorflow
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JVP
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VJP
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Convolution
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卷积
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Automatic Differentiation
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自动微分
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方向向量
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方向导数
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Directional Derivative
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微分
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Derivative
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Forward Mode
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Backward Mode
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Tensor Derivative
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Matrix Calculus
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反向传播
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Backpropagation
Introduce all matrix calculus knowledge you need to know in deep learning in an inituitive, eleberated and pratical way. 以直观、生动和实用的方式介绍你在深度学习中需要知道的所有矩阵计算知识。
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