Deep Learning-Object Detection-YOLO Series
The object detection YOLO series courses mainly include two core modules:
1. Intensive explanation of the YOLO series algorithm, detailed interpretation of the core knowledge points and overall network architecture of the 3 papers, and in-depth analysis of its effects, and a popular explanation of the implementation principles of the YOLO architecture and the details of the effect improvement ;
two, YOLO-V3 project combat, detailed interpretation of the V3 version of the source code, debug mode by which explain each line of code, fundamentally grasp YOLO series of all implementation details.
The overall style is easy to understand, principle + actual combat
Chapter 1 Overview of Classical Deep Learning Detection Methods
Chapter 2 YOLO-V1 Overall Idea and Network Architecture
Chapter 3 YOLO-V2 Improvement Details Detailed
Chapter 4 YOLO-V3 Core Network Model
Chapter 5 Project Actual Combat-Source Code Interpretation Based on the V3 Version
Chapter 6 Based on YOLO- V3 Training Your Data and Tasks
Chapter 7 YOLO-V4 Version Algorithm Interpretation
Chapter 8 V5 Version Project Configuration
Chapter 9 V5 Version Project Engineering Source Code Interpretation
Chapter 10 Basic Supplement-Transfer Learning and Resnet Network Architecture
Chapter 11 Basic Supplement-Object Detection FasterRcnn Series