2021
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RNN
August 6, 2021Fundamentals of RNN including sequence data handling, latent autoregressive models, BPTT, and truncated backpropagation.
2 min read ·mlnlp+1 -
Naver Boostcamp AI Tech 2nd - Week 1 Report
August 6, 2021Week 1 retrospective of Naver Boostcamp AI Tech covering AI math fundamentals, Python basics, and gradient descent implementation.
1 min read ·naver-boostcamp -
Proof of Gradient Descent
August 4, 2021Mathematical derivation of gradient descent for linear regression, from L2 norm cost functions to SGD.
3 min read ·mlalgorithm -
Gradient Descent Basics
August 3, 2021Gradient descent basics: differentiation, gradient vectors, partial derivatives, and the nabla operator.
1 min read ·ml -
Matrix, Vector
August 3, 2021Linear algebra refresher covering vector norms, inner products, matrix multiplication, inverse matrices, and Moore-Penrose pseudo-inverse with NumPy examples.
1 min read ·python -
Python nested function
August 3, 2021Using Python decorators to compose nested functions for cleaner code structure.
1 min read ·python