YOLO-V3 using Darknet Framework On NVIDIA GPU Without Coding

YOLO-V3 using Darknet Framework On NVIDIA GPU Without Coding, available at $19.99, has an average rating of 3.85, with 25 lectures, based on 18 reviews, and has 137 subscribers.

You will learn about Object Detection using YOLO Deep learning Machine learning Custom Object Detection Video Analysis finding the objects in video This course is ideal for individuals who are PHD in ML or Degree in ML It is particularly useful for PHD in ML or Degree in ML.

Enroll now: YOLO-V3 using Darknet Framework On NVIDIA GPU Without Coding

Summary

Title: YOLO-V3 using Darknet Framework On NVIDIA GPU Without Coding

Price: $19.99

Average Rating: 3.85

Number of Lectures: 25

Number of Published Lectures: 25

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: ?1,799

Quality Status: approved

Status: Live

What You Will Learn

Object Detection using YOLO

Deep learning

Machine learning

Custom Object Detection

Video Analysis finding the objects in video

Who Should Attend

PHD in ML

Degree in ML

Target Audiences

PHD in ML

Degree in ML

Hello all students this the the course designed for practical implementations of YOLO-v3 using Darknet Framework. This Framework helps YOLO to detect custom objects, in Videos and Images. Many students are doing their PHD and degrees in Machine learning this course will help them to complete their projects it’s like performance boosting in their field .. Some Industries required object detection in their surveillance cameras.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Syllabus

Lecture 1: Syllabus for Course

Chapter 3: YOLO

Lecture 1: What is YOLO ? (Brief Introduction)

Chapter 4: Darknet Framework for YOLO

Lecture 1: What is Darknet Framework for YOLO ?

Chapter 5: Hardware Requirements

Lecture 1: Hardware Requirements for Course

Chapter 6: Installing Darknet Framework

Lecture 1: Install Darknet Framework

Chapter 7: How to use Darknet Framework

Lecture 1: How to use Darknet framework

Chapter 8: Setup working Environment on your Deep Learning machine

Lecture 1: Setup Environment on Deep learning machine

Lecture 2: Setup Environment on Deep learning machine (Install Graphics drivers)part-1

Lecture 3: Setup Environment on Deep learning machine (Install Graphics drivers)part-2

Lecture 4: Setup Environment on Deep learning machine (Install CUDA 10.1)

Lecture 5: Setup Environment on Deep learning machine (Install cuDNN)

Lecture 6: Setup Environment on Deep learning machine (Install OpenCV 3.4)part-1

Lecture 7: Setup_Environment on Deep learning machine (Install OpenCV 3.4)part-2

Chapter 9: Train using Darknet Framework

Lecture 1: Train using Darknet Framework

Lecture 2: Train using Darknet Framework (method-1)part-1

Lecture 3: Train using Darknet Framework (method-1)part-2

Lecture 4: Train using Darknet Framework (method-1)part-3

Lecture 5: Train using Darknet Framework (method-1)part-4

Lecture 6: Train using Darknet Framework (method-1)part-5

Lecture 7: Train using Darknet Framework (method-1)part-6

Lecture 8: Train using Darknet Framework (method-1)part-7

Lecture 9: Train using Darknet Framework (method-1)part-8

Lecture 10: Train using Darknet Framework (method-2)part-1

Lecture 11: Train using Darknet Framework (method-2)part-2

Instructors

Dhavalshree Khedkar
IT Engineer

Rating Distribution

1 stars: 3 votes

2 stars: 0 votes

3 stars: 3 votes

4 stars: 2 votes

5 stars: 10 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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