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30-Day Money-Back Guarantee
Development Data Science OpenCV

Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs

Become a Wizard of all the latest Computer Vision tools that exist out there. Detect anything and create powerful apps.
Bestseller
Rating: 4.5 out of 54.5 (5,616 ratings)
39,964 students
Created by Hadelin de Ponteves, Kirill Eremenko, Ligency Team
Last updated 4/2021
English
English [Auto], French [Auto], 
30-Day Money-Back Guarantee

What you'll learn

  • Have a toolbox of the most powerful Computer Vision models
  • Understand the theory behind Computer Vision
  • Master OpenCV
  • Master Object Detection
  • Master Facial Recognition
  • Create powerful Computer Vision applications
Curated for the Udemy for Business collection

Course content

12 sections • 85 lectures • 11h 5m total length

  • Preview01:10
  • BONUS: Learning Paths
    00:33
  • Some Additional Resources!!
    00:14
  • This PDF resource will help you a lot!
    00:32
  • FAQBot!
    01:29
  • Get the materials
    00:06
  • Your Shortcut To Becoming A Better Data Scientist!
    02:05

  • Plan of attack
    01:27
  • Updates on Udemy Reviews
    01:09
  • Viola-Jones Algorithm
    Preview09:35
  • Haar-like Features
    14:42
  • Integral Image
    10:23
  • Training Classifiers
    10:49
  • Adaptive Boosting (Adaboost)
    16:26
  • Cascading
    06:13
  • Face Detection Intuition
    5 questions

  • Welcome to the Practical Applications
    05:12
  • Installations Instructions (once and for all!)
    14:40
  • Common Debug Tips
    00:13
  • Face Detection - Step 1
    06:49
  • Face Detection - Step 2
    05:28
  • Face Detection - Step 3
    03:53
  • Face Detection - Step 4
    05:13
  • Face Detection - Step 5
    04:53
  • Face Detection - Step 6
    11:16
  • Face Detection with OpenCV
    5 questions

  • Homework Challenge - Instructions
    00:39
  • Homework Challenge - Solution (Video)
    19:07
  • Homework Challenge - Solution (Code files)
    00:04

  • Preview02:08
  • How SSD is different
    09:14
  • The Multi-Box Concept
    10:18
  • Predicting Object Positions
    09:52
  • The Scale Problem
    Preview12:42
  • Object Detection Intuition
    5 questions

  • Object Detection - Step 1
    09:11
  • Object Detection - Step 2
    05:11
  • Object Detection - Step 3
    07:24
  • Object Detection - Step 4
    08:59
  • Object Detection - Step 5
    05:12
  • Object Detection - Step 6
    17:49
  • Object Detection - Step 7
    05:40
  • Object Detection - Step 8
    03:49
  • Object Detection - Step 9
    14:08
  • Object Detection - Step 10
    16:43
  • Training the SSD
    00:16
  • Object Detection with SSD
    5 questions

  • Homework Challenge - Instructions
    00:15
  • Homework Challenge - Solution (Video)
    15:01
  • Homework Challenge - Solution (Code files)
    00:04

  • Plan of Attack
    02:55
  • The Idea Behind GANs
    06:57
  • How Do GANs Work? (Step 1)
    12:12
  • How Do GANs Work? (Step 2)
    Preview05:01
  • How Do GANs Work? (Step 3)
    04:23
  • Applications of GANs
    12:51
  • Generative Adversarial Networks (GANs) Intuition
    5 questions

  • GANs - Step 1
    09:35
  • GANs - Step 2
    18:51
  • GANs - Step 3
    04:54
  • GANs - Step 4
    03:57
  • GANs - Step 5
    19:17
  • GANs - Step 6
    05:30
  • GANs - Step 7
    02:34
  • GANs - Step 8
    09:06
  • GANs - Step 9
    20:28
  • GANs - Step 10
    02:19
  • GANs - Step 11
    06:15
  • GANs - Step 12
    13:51
  • Image Creation with GANs
    5 questions
  • Special Thanks to Alexis Jacq
    02:27
  • THANK YOU bonus video
    02:40

  • What is Deep Learning?
    12:34
  • Plan of Attack
    02:51
  • The Neuron
    16:15
  • The Activation Function
    08:29
  • How do Neural Networks work?
    12:47
  • How do Neural Networks learn?
    12:58
  • Gradient Descent
    10:12
  • Stochastic Gradient Descent
    08:44
  • Backpropagation
    05:21

Requirements

  • Only High School Maths
  • Basic Python programming knowledge

Description

*** AS SEEN ON KICKSTARTER ***

You've definitely heard of AI and Deep Learning. But when you ask yourself, what is my position with respect to this new industrial revolution, that might lead you to another fundamental question: am I a consumer or a creator? For most people nowadays, the answer would be, a consumer.

But what if you could also become a creator?

What if there was a way for you to easily break into the World of Artificial Intelligence and build amazing applications which leverage the latest technology to make the World a better place?

Sounds too good to be true, doesn't it?

But there actually is a way..

Computer Vision is by far the easiest way of becoming a creator.

And it's not only the easiest way, it's also the branch of AI where there is the most to create.

Why? You'll ask.

That's because Computer Vision is applied everywhere. From health to retail to entertainment - the list goes on. Computer Vision is already a $18 Billion market and is growing exponentially.

Just think of tumor detection in patient MRI brain scans. How many more lives are saved every day simply because a computer can analyze 10,000x more images than a human?

And what if you find an industry where Computer Vision is not yet applied? Then all the better! That means there's a business opportunity which you can take advantage of.

So now that raises the question: how do you break into the World of Computer Vision?

Up until now, computer vision has for the most part been a maze. A growing maze.

As the number of codes, libraries and tools in CV grows, it becomes harder and harder to not get lost.

On top of that, not only do you need to know how to use it - you also need to know how it works to maximise the advantage of using Computer Vision.

To this problem we want to bring... 

Computer Vision A-Z.

With this brand new course you will not only learn how the most popular computer vision methods work, but you will also learn to apply them in practice!

Can't wait to see you inside the class,

Kirill & Hadelin

Who this course is for:

  • Anyone interested in Computer Vision or Artificial Intelligence

Featured review

Prayson Wilfred Daniel
Prayson Wilfred Daniel
148 courses
50 reviews
Rating: 5.0 out of 5a year ago
I enjoyed the theoretical part of the course more than the actual codes. I felt cheated in SSD as we used already build model and did not build one ourselves. But this does not change the fact that I have learn a lot.

Instructors

Hadelin de Ponteves
AI Entrepreneur
Hadelin de Ponteves
  • 4.5 Instructor Rating
  • 244,039 Reviews
  • 1,268,987 Students
  • 28 Courses

Hadelin is the co-founder and CEO at BlueLife AI, which leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by innovating, automating processes and maximizing efficiency. Hadelin is also an online entrepreneur who has created 70+ top-rated educational e-courses to the world on topics such as Machine Learning, Deep Learning, Artificial Intelligence and Blockchain, which have reached 1M+ students in 210 countries.

Kirill Eremenko
Data Scientist
Kirill Eremenko
  • 4.5 Instructor Rating
  • 469,091 Reviews
  • 1,743,044 Students
  • 44 Courses

My name is Kirill Eremenko and I am super-psyched that you are reading this!

Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.

To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

Ligency Team
Helping Data Scientists Succeed
Ligency Team
  • 4.5 Instructor Rating
  • 480,759 Reviews
  • 1,728,099 Students
  • 112 Courses

Hi there,

We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more!

We are here to help you stay on the cutting edge of Data Science and Technology.

See you in class,

Sincerely,

The Real People at Ligency

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