Master Computer Vision™ OpenCV4 in Python with Deep Learning

Master Computer Vision™ OpenCV4 in Python with Deep Learning

Check it out: Master Computer Vision™ OpenCV4 in Python with Deep Learning

What you’ll learn

• Understand and use OpenCV4 in Python
• How to use Deep Learning using Keras & TensorFlow in Python
• Create Face Detectors & Recognizers and create your own advanced face swaps using DLIB
• Object Detection, Tracking and Motion Analysis
• Create Augmented Reality Apps
• Programming skills such as basic Python and Numpy
• How to use Computer Vision in executing cool startup ideas
• Understand Neural and Convolutional Neural Networks
• Learn to build simple Image Classifiers in Python
• Learn to build an OCR Reader for Credit Cards
• Learn to Perform Neural Style Transfer Using OpenCV
• Learn how to do Multi Object Detection in OpenCV (up to 90 Objects!) using SSDs (Single Shot Detector)
• Learn how to convert black and white Images to color using Caffe
• Learn to build an Automatic Number (License) Plate Recognition (ALPR)
• Learn the Basics of Computer Vision and Image Processing

“I am extremely impressed by this course!! I think this is by far the best Computer Vision course on Udemy. I’m a college student who had previously taken a Computer Vision course in undergrad. This 6.5 hour course blows away my college class by miles!!”

“Rajeev did a great job on this course. I had no idea how computer vision worked and now have a good foundation of concepts and knowledge of practical applications. Rajeev is clear and concise which helps make a complicated subject easy to comprehend for anyone wanting to start building applications.”

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Why Learn Computer Vision in Python using OpenCV?

Computer vision applications and technology are exploding right now! With several apps and industries making amazing use of the technology, from billion-dollar apps such as Pokémon GO, Snapchat and up and coming apps like MSQRD and PRISMA.

Even Facebook, Google, Microsoft, Apple, Amazon, and Tesla are all heavily utilizing computer vision for face & object recognition, image searching and especially in Self-Driving Cars!

As a result, the demand for computer vision expertise is growing exponentially!

However, learning computer vision is hard! Existing online tutorials, textbooks, and free MOOCs are often outdated, using older incompatible libraries or are too theoretical, making it difficult to understand.

This was my problem when learning Computer Vision and it became incredibly frustrating. Even simply running example code I found online proved difficult as libraries and functions were often outdated.

I created this course to teach you all the key concepts without the heavy mathematical theory while using the most up to date methods.

I take a very practical approach, using more than 50 Code Examples.

At the end of the course, you will be able to build 12 Awesome Computer Vision Apps using OpenCV in Python.

I use OpenCV which is the most well supported open-source computer vision library that exists today! Using it in Python is just fantastic as Python allows us to focus on the problem at hand without being bogged down by complex code.

If you’re an academic or college student I still point you in the right direction if you wish to learn more by linking the research papers of techniques we use.

So if you want to get an excellent foundation in Computer Vision, look no further.

This is the course for you!

In this course, you will discover the power of OpenCV in Python, and obtain skills to dramatically increase your career prospects as a Computer Vision developer.

You get 3+ Hours of Deep Learning in Computer Vision using Keras, which includes:

A free Virtual Machine with all Deep Learning Python Libraries such as Keras and TensorFlow pre-installed

Detailed Explanations on Neural Networks and Convolutional Neural Networks

Understand how Keras works and how to use and create image datasets

Build a Handwritten Digit Classifier

Build a Multi-Image Classifier

Build a Cats vs Dogs Classifier

Understand how to boost CNN performance using Data Augmentation

Extract and Classify Credit Card Numbers

As for Updates and support:

I will be continuously adding updates, fixes, and new amazing projects every month!

I will be active daily in the ‘questions and answers’ area of the course, so you are never on your own.

So, are you ready to get started? Enroll now and start the process of becoming a master in Computer Vision today!
Who this course is for:

Beginners who have an interest in computer vision
College students looking to get a head start before starting computer vision research
Anyone curious using Deep Learning for Computer Vision
Entrepreneurs looking to implement computer vision startup ideas
Hobbyists wanting to make a cool computer vision prototype
Software Developers and Engineers wanting to develop a computer vision skillset