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Navigating Robotics
Home
Building this Page
Planar Homography
3D Reconstruction
Constrained RRT
ConvNext
MRSD Capstone Project
Deep Learning
ML Basics
Deep Learning Starter
MLPs (IDL1)
Classifiers (IDL2)
Optimizers and Regularizers (IDL3)
Intro to CNNs
Lessons Learnt 1
SLAM
Recap on Probability
Expectation and Covariance
Particle Filters Theory
EKF
Least Squares SLAM
Computer Vision
Camera Models and Projections
Numpy for CV
Volume Rendering and NERFs
Spatial Pyramids and Bag of Words
Optical Flow and Image Alignment
Computer Vision Libraries in C++
Linear Algebra in Eigen
Eigen, OpenCV, and Images
Markdown Cheat Sheet
Sushanth Jayanth's github
Deep Learning
Introduction and Overview of DL as done in 11-785 IDL and 16720 Computer Vision class
Table of contents
ML Basics
Deep Learning Starter
MLPs (IDL1)
Classifiers (IDL2)
Optimizers and Regularizers (IDL3)
Intro to CNNs
Lessons Learnt 1