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Data Overview
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Project : Detect Defects in Steel Sheets with Computer Vision
- Build a computer vision based model which can detect the defects in steel sheets.
- Understand how is computer vision helping in optimising the object detection process in the industry.
Created by Selva Prabhakaran
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24 Video Lessons
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English
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English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
How to solve Deep Learning
How to solve Deep Learning
industrial project end to end?
02
What is Computer vision
What is Computer vision
03
Understand the U-Net Model
Understand the U-Net Model
architecture
04
How to choose right
How to choose right
evaluation metric?
05
What is BCE Logistic Loss and
What is BCE Logistic Loss and
code implementation?
06
What is Dice Loss and code
What is Dice Loss and code
implementation?
07
How to Visualize with
How to Visualize with
Tensorboard?
Course Curriculum
8 Modules | 26 Sessions | 1 hour 30 min Total Time
Introduction
Sessions: 3 | Time: 13 min
U-Net Model Architecture
Sessions: 2| Time: 21 min
Evaluation Metrics
Sessions: 3| Time: 7 min
Setup, Helper Functions and Explore Data (Code Demo)
Sessions: 5| Time: 20 min
Train Model with BCE Logits Loss (Code Demo)
Sessions: 7| Time: 16 min
Train Model with BCE Logits Loss and Learning Rate Scheduler (Code Demo)
Sessions: 1| Time: 5 min
Train Model with Dice Loss and Learning Rate Scheduler (Code Demo)
Sessions: 1| Time: 2 min
Visualize with TensorBoard (Code Demo)
Sessions: 4| Time: 6 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
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Future Data Scientists and ML Engineers
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Product Managers, Program Managers, Scrum Masters working in ML/Data science project
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Software/Data engineers interested in quantitative analysis
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Software engineers interfacing with data science team
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Executives who have to lead or interact with Data Scientists
Instructor
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last
10 years of my data science experience I’ve deployed 20+ global products. I’m
also the Founder & Chief Author of Machine Learning Plus, which has over 4M
annual readers.
I specialize in covering the in-depth intuition and maths of any concept or
algorithm. And based on my existing student requests, I’ve put up the series of
courses and projects with detailed explanations – just like an on the job
experience. Hope you love it!
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4.5+Instructor rating
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200+ reviews
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10K+students
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15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts