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3 courses matching “inference”

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Abstract cover artwork for Transformers and Attention, Implemented Line by Line, a Deep Learning course Deep Learning
Deep Learning advanced

Transformers and Attention, Implemented Line by Line

Build a transformer from scratch: scaled dot-product attention, multi-head projections, positional encodings, KV caching and the modern variants (RoPE, grouped-query attention, RMSNorm) that make inference cheap. You will train a small model, profile it, and understand precisely where the FLOPs go.

HT Hiroshi Tanaka 4.9

$109.00

17 hours

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Abstract cover artwork for Statistics for Machine Learning Practitioners, a Machine Learning course Machine Learning
Machine Learning beginner

Statistics for Machine Learning Practitioners

The statistical intuition that separates practitioners from people running library calls. Sampling distributions, confidence intervals, the multiple-comparisons trap, effect sizes, and Bayesian reasoning about uncertainty. Written for engineers who need to interpret an experiment, not to prove theorems.

EV Elena Vasquez 4.6

$45.00

12 hours

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Abstract cover artwork for Computer Vision in Production, a Deep Learning course Deep Learning
Deep Learning intermediate

Computer Vision in Production

Classification, detection and segmentation with modern backbones, then the parts tutorials skip: data augmentation that reflects real distribution shift, annotation quality control, ONNX export, quantised inference at the edge, and monitoring for the day your camera angle changes.

LM Lucas Meyer 4.5

$89.00

16 hours

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