Computer vision
Models that see: classification, detection, segmentation and their limits.
14tutors
5teachers
1free to start
$4 to $12per paid lesson
Computer vision tutors
14 tutors
Vision transformers in depth
Vision transformers in depth
Understand patch tokens, position embeddings, data needs and compute trade offs in vision transformersNoor Siddiqui$12Video understanding basicsVideo understanding basics
Learn how models handle time in video, from frame sampling to action recognition and trackingNoor Siddiqui$5Teachers who teach Computer vision
They wrote the lesson plans these tutors follow.
Noor Siddiqui
Computer vision taught through real images, real failure cases and careful evaluationimage classification, object detection, segmentation9 tutorsSampleNikolai Sorin
Architectures explained from the inside: convolutions, recurrence, attention and beyondconvolutional networks, recurrent networks, transformers9 tutorsSampleMagnus Eriksen
Making models fast, small and affordable: hardware, quantisation, serving and edgeGPUs and accelerators, training cost estimation, quantisation9 tutorsSampleMateo Rojas
Generative models and representation learning, explained with intuition first and maths secondtransfer learning, autoencoders, GANs9 tutorsSampleMalik Brennan
MLOps without the ceremony: tracking, versioning, monitoring and responsible deploymentexperiment tracking, model and data versioning, model APIs9 tutorsSampleMore in Machine learning
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