[Revised Edition] Deep Learning Computer Vision Complete Guide
This course will help you become a deep learning-based computer vision expert needed in the field through in-depth theoretical explanations of Object Detection and Segmentation, along with practical examples that can be immediately applied in real-world work environments.
4,010 learners
Level Intermediate
Course period Unlimited
Transformer Course Launch: Learn by Implementation
Hello, everyone. This is Kwon Cheolmin.
I recently launched a new course titled 'Learning Transformer Through Implementation'.
This course covers everything from Multi Head Attention, the core mechanism of Transformers, to the Original Transformer model, BERT, and the MarianMT model which is an Encoder-Decoder translation modelThis is a course where you can learn Transformers inside and out by implementing everything from scratch.
If you've been interested in Transformers but have had difficulty understanding them, this course will quench your thirst for Transformer knowledge with easy, detailed theoretical explanations that lead to actual code implementation.
Currently offering a 35% discount in celebration of the launch, and below is the course introduction page.
The official prerequisite course for 'Learning by Implementing Transformer Course' is 'Deep Learning CNN Complete Guide - PyTorch Version'. The Deep Learning CNN Complete Guide - PyTorch Version course is also offering a 25% discount.
If you have some experience implementing models with PyTorch, you can challenge yourself without taking the prerequisite courses. For more details, please visit https://inf.run/K4ZyT
Please refer to the video.
The weather is getting quite chilly. Please always take care of your health and have a vibrant day.
Thank you.
