Object Detection with Pytorch

Hey Guys! This a course guys have been working on for a few months. Please let me know your thoughts and give some support and love 💛 💙 Thanks!

Support our new campaign here: https://www.producthunt.com/post... ==================================== Hello, friends, and many hugs to all of you 🎉 After 2 months of sleepless nights and battles with gradients, we're happy to share with you our new online course about Machine Learning - “Object Detection with PyTorch” You may ask why we did it if there are so many similar courses? - And that’s a good question 💛 💎 The reason zero - we like ML and we like to teach people, cause that's one of the greatest things that u can give back to the community - knowledge that was gained by hard work and a huge amount of time spent. So the next generation can go farther from where we stopped. 💎 The first reason - creating courses on some small area/problem/task to transfer knowledge to other specialists as fast as possible and without bullshit. We are not professors from the university, we are practical guys who are paying their bills by doing researches and solutions in Machine Learning and AI areas. And as professionals, we often have a need to get new knowledge with deep understanding of problematic of tasks asap. But all we can find on the market is online courses about simple stuff that good for newcomers but not for us. And that’s a big problem because getting knowledge from papers is time-consuming. 💎 The second reason - a huge gap between studying materials and real tasks. I think many of you had this feeling in the past when the teacher describe you something like 2+2 = 4, and then in real life, you get task to calculate the trajectory of a spaceship to Mars. So we want to build courses from developers for developers, with giving real practical knowledge without gaps, so students can be ready for real-life after the course ends. 💎 The course will lead you from the basics to the latest state-of-the-art solution and will consist of 7 lessons: ⭐️ PyTorch Basics ⭐️ Single Object Localisation ⭐️ Single Shot Networks / Yolo ⭐️ Single Shot Networks / SSD ⭐️ Region Proposal Networks / Fast R-CNN ⭐️ Region Proposal Networks / Mask R-CNN ⭐️ Bonus Material 💎 Requirements: Python, Base Math, ML Basics (CNN networks, Dense Networks) 💎 Time: 4+ weeks (2 lessons/week but we will look by student progress) 💎 Interaction with students: GitHub Issues 💎 Environment(free): Google Colab, Ram: 12GB, Disk: 350GB, GPU: Nvidia T4 16GB 💎 Start date: 18 November 2019 🦄 While we had many lectures, workshops, public talks behind our backs, this is the first course of such format, so we will be very happy to hear your comments and propositions 🙂 Also we have small demo tutorial for you: http://bit.ly/traffic-counting-w... So let the party started 🎉

I know how much work, skill, professional expertise, sleepless nights and talent has been put to this course, it is definitely worth your time!

Awesome, guys! Very useful course!

Great course!

Also here is list of my previous articles that you may find interesting: ⭐️ Linear Algebra. Points matching with SVD in 3D space https://medium.com/machine-learn... ⭐️ Linear Algebra. Polynoms. Interpolation. Least squares https://medium.com/machine-learn... ⭐️ Linear Algebra. SVD and PCA https://medium.com/machine-learn... ⭐️ Shape Context descriptor and fast characters recognition https://medium.com/machine-learn... ⭐️Feature extraction and similar image search with OpenCV for newbies https://medium.com/machine-learn... ⭐️ Tutorial: Counting Road Traffic Capacity with OpenCV https://medium.com/machine-learn... ⭐️ How to debug neural networks. Manual. https://medium.com/machine-learn...

Looks amazing!