EfficientNet | LearnOpenCV

EfficientNet: Theory + Code

July 2, 2019 Leave a Comment

July 2, 2019 By Leave a Comment

In this post, we will discuss the paper "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" At the heart of many computer vision tasks like image classification, object ...

Ceda Fusia Senior Software Engineer

The course exceeded my expectations in many regards — especially in the depth of information supplied. The keyword "engineering oriented" surprised me nicely.

Leo Quiroa Head of AI, Synapbox

The way they explain all the concepts are very clear and concise. This understanding is a crucial part to build a solid foundation in order to pursue a computer vision career.

Sergio Silva Math Instructor

I was doing a self-study on AI, when I came across with Opencv summer course. I can sure tell you that this course has opened my mind to a world of possibilities.

Felipe Verdés Wolukanis Robotics Engineering, Warsaw University of Technology

I took this course because of the experts that were ahead of it and the availability to see the code implementations in both languages, C++ and Python.

Ikbel Boulabiar PhD in HCI, Founder of Concepta.me and Aptum

I really enjoyed this course which exceeded my expectations. It summarize the important computer vision aspects you should know which are now eclipsed by deep-learning-only courses.

Satheesh Babu Software Engineer

I am really impressed with the mix of rich content offered in the course (video + text + code), the reliable infrastructure provided (cloud based execution of programs), assignment grading and fast response to questions

Floris Alexandrou Computer Science Student, University of Central Lancashire

The only course I've ever bought online and it's totally worth it. There are lots of material which are challenging and applicable to real world scenarios.

Prem Chedella Software Programmer, King Abdullah University of Science and Technology

The course is divided into weekly lessons, those are crystal clear for different phase learners. The authors of the lessons and source code are experts in this field.

Subscribe Now

Disclaimer

All views expressed on this site are my own and do not represent the opinions of OpenCV.org or any entity whatsoever with which I have been, am now, or will be affiliated.

Getting Started

Course

Information

About LearnOpenCV

In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.

LearnOpenCV

EfficientNet: Theory + Code

Subscribe to receive the download link, receive updates, and be notified of bug fixes

Almost there! Please complete this form and click the button below to receive the download link.