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

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

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

Free Course Deep Learning and Computer Vision A-Z™: OpenCV [2020]

SSD & GANs, Become a Wizard of all the latest Computer Vision tools that exist out there. Detect anything and create powerful apps.
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 ...
Instructur by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team

Preview This Course - GET COUPON CODE

What Will I 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

  • Only High School Maths
  • Basic Python programming knowledge

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

Get All In Courses -> Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs

Students also bought

Deep Learning and NLP A-Z™: How to create a ChatBot
Learn the Theory and How to implement state of the art Deep Natural Language Processing models in
Tensorflow and Python

Deep Learning with TensorFlow 2.0 [2020]
Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Case

Tensorflow 2.0: Deep Learning and Artificial Intelligence
Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!

Recommender Systems and Deep Learning in Python
The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
VGG, ResNet, Inception, SSD, Neural Style Transfer, GANs +More Using CNNs in Tensorflow, Keras, and Python

Read Also:

Pilih Sistem Komentar