Photo by Iñaki del Olmo on Unsplash

Recently I received thoughtful feedback from N Rukkumani to create a catalogue for the blogs written so far. So I’ve decided to do the same for easy access depending upon the readers’ topic of interest.

Machine Learning

Introduction to Machine Learning, Deep Learning and Data types

Machine Learning Types & A glimpse of Input Features

Recommender Systems

Recommendation Systems

Convolution Neural Networks(CNN)

Convolutional Neural Nets for Images

Backpropagation in CNN

Implementation of an Image Classifier using ConvNets

Pretrained Models — Part1

Pretrained Models — Part2

Transfer Learning & ImageNet Datasets

Pretrained Models — Part3

Implementation of Pretrained Models for Image Classifier

Introduction to Object Localisation & Object Detection

Object detection (Fast R-CNN Vs Faster R-CNN)

All about IOU (Interpretation, Visualization, and Evaluation)

YOLO(You Only Look Once) for object detection

YOLOV2 / YOLO9000 (Better, Faster & Stronger) — part1

YOLOV2 / YOLO9000 (Better, Faster & Stronger) — part2

YOLOv3: An Incremental Improvement

Custom Object detector setup(yolov5)

YOLOv4: Optimal Speed and Accuracy of Object Detection — Part 1

YOLOv4: Optimal Speed and Accuracy of Object Detection — Part 2

YOLOv4: Optimal Speed and Accuracy of Object Detection — Part 3

Variants of IoU {GIoU, DIoU, CIoU}

The Swish and Mish activations

YOLOv4 setup for Custom object detection

Kalman Filter(one of the fundamentals of object tracking)

Kalman Filter(contd)

Hungarian Algorithm for object tracking

Object tracking based on Centroid

Simple Online And Real-time Tracking

SORT with a Deep Association Metric

CVAT Tool (A quick demo)

Implementation of a simple object detector(YOLOv5)

Evaluation Metrics for Object detection

Implementing an object Tracker for German Shepherd — part1

Identification of fps of a video

Implementing an object Tracker for German Shepherd — part2

EfficientNetV2: Smaller Models and Faster Training

Autoencoder

Implementation of Autoencoders(Dimensionality Reduction)

Siamese Neural Networks for One-shot Image Recognition

Vision Transformers (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

MLP Mixer for Vision(latest release by Google)

VarifocalNet: An IoU-aware Dense Object Detector

Rethinking ImageNet Pre-training

Rethink Transfer Learning in Medical Image Classification

EfficientDet: Scalable and Efficient Object Detection

Semantic Segmentation

AI Enthusiast | Blogger✍