The Ultimate Deep Learning & NLP Certification Bundle

443 Enrolled
6 Courses & 36 Hours
$41.99 CAD$108.00 CAD
You save 61%

What's Included

Computer Vision Applications with Deep Learning
  • Experience level required: Intermediate
  • Access 75 lectures & 7 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

75 Lessons (7h)

  • Welcome
  • Review
  • VGG and Transfer Learning
  • ResNet (and Inception)
  • Object Detection (SSD)
  • Neural Style Transfer
  • Facial Recognition
  • Basics Review
  • Appendix

Computer Vision Applications with Deep Learning

Lazy ProgrammerLazy Programmer Inc. | Artificial Intelligence & Machine Learning Engineer
4.6/5 Instructor Rating: ★ ★ ★ ★

The Lazy Programmer is a data scientist, big data engineer, and full-stack software engineer. He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School. Multiple businesses have benefitted from their web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases, he has used MySQL, Postgres, Redis, MongoDB, and more.


In this course, you’ll see how you can turn a CNN into an object detection system, that not only classifies images but can locate each object in an image and predict its label. You could imagine that such a task is a basic prerequisite for self-driving vehicles. With 75 lectures, you'll be looking at SSD, neural style transfer, and facial recognition. Sign up and learn these advanced applications of CNNs.

  • Access 75 lectures & 7 hours of content 24/7
  • See how a CNN can be turned into an object detection system
  • Learn about a state-of-the-art algorithm called SSD
  • Understand the process of neural style transfer
  • Become informed & aware about facial recognition


Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: intermediate
  • Have questions on how digital purchases work? Learn more here


  • Know how to build, train & use a CNN using some library (preferably in Python)
  • Understand basic theoretical concepts behind convolution & neural networks
  • Decent Python coding skills, preferably in data science & the Numpy Stack


  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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