I have taken many lectures, but in my experience, this is the best lecture on deep learning mathematics. If you want to solidify your basics, you should definitely take this lecture.

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This lecture covers the principles of Backpropagation, the most important part of deep learning, from the basics to advanced levels.

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[Deep Learning Expert Course DL1231] Backpropagation and Jacobian Matrix

Thank you so much for understanding my intentions:) I will do my best to provide good lectures in the future!

입문

초급

중급이상

Deep Learning(DL)

Procession

Integral Differential

Orientation

Backpropagation and Jacobian matrix in deep learning

Basic Differentiation

Multivariable functions and Jacobian matrices

Linear/Logistic Regression(1)

Vector functions and Jacobian matrices

Element-wise operations and Jacobian matrix

Linear/Logistic Regression(2)

Total Derivative

Extended Jacobian Matrix

Extended Jacobian in Deep Learning

MLP and extended Jacobian application