Все публикации

0:08:30

Eliminate Grid Sensitivity | Bag of Freebies (Yolov4) | Essentials of Object Detection

0:19:29

GIoU vs DIoU vs CIoU | Losses | Essentials of Object Detection

0:14:38

Feature Pyramid Network | Neck | Essentials of Object Detection

0:10:10

Bounding Box Prediction | Yolo | Essentials of Object Detection

0:09:27

Anchor Boxes | Essentials of Object Detection

0:05:59

Intersection Over Union (IoU) | Essentials of Object Detection

0:06:29

A Better Detection Head | Essentials of Object Detection

0:15:32

Detection Head | Essentials of Object Detection

0:12:09

Reshape,Permute,Squeeze,Unsqueeze made simple using einops | The Gems

0:11:53

Image & Bounding Box Augmentation using Albumentations | Essentials of Object Detection

0:07:56

Bounding Box Formats | Essentials of Object Detection

0:24:06

Object Detection introduction and an overview | Essentials of Object Detection

0:13:31

Softmax (with Temperature) | Essentials of ML

0:09:27

Grouped Convolution - Visually Explained + PyTorch/numpy code | Essentials of ML

0:11:13

Convolution, Kernels and Filters - Visually Explained + PyTorch/numpy code | Essentials of ML

0:09:17

Matching patterns using Cross-Correlation | Essentials of ML

0:09:07

Let's make the Correlation Machine | Essentials of ML

0:25:27

Reparameterization Trick - WHY & BUILDING BLOCKS EXPLAINED!

0:35:33

Variational Autoencoder - VISUALLY EXPLAINED!

0:30:55

Probabilistic Programming - FOUNDATIONS & COMPREHENSIVE REVIEW!

0:24:45

Metropolis-Hastings - VISUALLY EXPLAINED!

0:33:07

Markov Chains - VISUALLY EXPLAINED + History!

0:31:37

Monte Carlo Methods - VISUALLY EXPLAINED!

0:12:49

Conjugate Prior - Use & Limitations CLEARLY EXPLAINED!