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Yapay ZekâÖnerilenAIML-SYS-003

Memory and Model Size

Parameters, optimizer state, activations, and precision: where training and serving memory goes.

Bu konunun henüz Türkçe çevirisi yok, bu yüzden İngilizce gösteriliyor.

Zorluk
3 / 5
Önem
4 / 5
Çalışma süresi
1–2 sa
Çalışma türü
Karma

Neden önemli

The learner can account training and serving memory across parameters, optimizer state, and activations, and show how numeric precision changes the total.

Bu konuya giden rota

Rota AIML-SYS-003
What Is a Model? Tasks: Regression, Classification, and Beyond Features and Targets Classification Framing Linear Regression I: Prediction and Residuals Scores and Logits Loss and Fitting: Squared Error The Artificial Neuron Objective Functions and Empirical Risk Activation Functions Training vs Serving The Multilayer Perceptron Forward Propagation Memory and Model Size