Transposed Convolutions Explained: A Fast 8-Minute Explanation | Computer Vision

Transposed convolutions are a basic building block for many computer vision tasks like for example image segmentation. Some well-known deep learning models like U-Net are using transposed convolutions to do their magic.
Therefore I think it is worth understanding how transposed convolutions are calculated and what the transposed convolution step actually looks like.

Paper: https://arxiv.org/pdf/1603.07285v1.pdf

All social media_______________________

Facebook:   / johannesfrey86  
Twitter:   / johannesfrey86  
Instagram:   / johannesfrey86  
LinkedIn:   / johannesfrey86  

About the channel_____________________

Awesome Data science without much math and everything you need to know to deploy your machine-learning models!
--
All videos will be easy to follow and I'll try to reduce the complicated mathematical stuff to a minimum because I believe that you don't need to know how a CPU works to be able to operate a PC...

GitHub: https://github.com/coding-maniacs

Equipment ___________________________
Laptop: https://geni.us/4UKVn9
Keyboard: https://geni.us/tSMLRPR
Mouse: https://geni.us/KDny2nT
Display: https://geni.us/7Jg2
Headphones: https://geni.us/VhTZ

Camera 1: https://geni.us/KX5cxkA
Lens Camera 1: https://geni.us/GmphhE
Camera 2: https://geni.us/tBEgUTr
Lens Camera 2: https://geni.us/w651W
Audio-Recorder: https://geni.us/ottXh
Microphone: https://geni.us/6ax7aP
Light: https://geni.us/8c6SNBx
Softbox: https://geni.us/vhIHo4
Accent Lights: https://geni.us/ThqF1

#transposedconvolution #machinelearning #datascience #datascientist #computervision #convolutionalneuralnetwork #convolution #machinelearningbasics #datasciencebootcamp #datasciencebasics #machinelearningtutorialforbeginners #datascienceforbeginners #datasciencetutorial #datascienceskills #imageprocessing #imagesegmentation