[cs231n Lecture 5] Convolutional Neural Networks (Lecture Summary & Implementation)
CS231n 2020: Convolutional Neural Networks for Visual Recognition Summary Notes CNN Implementation from Scratch ThreeLayerConvNet...
2023, Apr 24 — 1 minute readCS231n 2020: Convolutional Neural Networks for Visual Recognition Summary Notes CNN Implementation from Scratch ThreeLayerConvNet...
2023, Apr 24 — 1 minute readCS231n 2020: Convolutional Neural Networks for Visual Recognition Summary Notes Optimizers - Nesterov Momentum, RMSProp,...
2023, Apr 23 — 1 minute readCS231n 2020: Convolutional Neural Networks for Visual Recognition Summary Notes Batch Normalization Implementation from Scratch...
2023, Apr 22 — 1 minute readCS231n 2020: Convolutional Neural Networks for Visual Recognition Summary Notes Weight Initialization & Activation Functions...
2023, Apr 21 — 1 minute readOutlines Exercise Problem Solved Parseval’s Theorem FT of rect(t), sinc(t), sinc^2(t) Summary Notes 09_Parseval’s Theorem...
2023, Apr 05 — 1 minute readOutlines Finding impule function from LCCDE Fourier transform of unit step function & signum function...
2023, Apr 04 — 1 minute readOutlines Fourier transform of periodic function Fourier transform of delta train in two ways Summary...
2023, Apr 03 — 1 minute readPrincipal Component Anaylsis (PCA) Identify the axes, known as principal components, that capture the most...
2023, Apr 02 — 1 minute read1. Summary Notes provides a summary of the entire process for optimizing a soft-margin SVM....
2023, Apr 02 — 10 minute readSoft Margin SVM that provides flexibility by allowing some classification error by introducing some slack...
2023, Apr 02 — 1 minute read