Chao Ma
June 12, 2026
Notes from CMU 10-414/714 Deep Learning Systems, focused on the systems and mathematical foundations needed to build deep learning workloads.
Lecture 2: ML Refresher / Softmax Regression Hypothesis classes, loss functions, optimization, softmax regression, cross-entropy, gradient descent, SGD, and the softmax gradient.
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title: "CMU 10-414/714: Deep Learning Systems"
author: "Chao Ma"
date: "2026-06-12"
---
Notes from CMU 10-414/714 Deep Learning Systems, focused on the systems and mathematical foundations needed to build deep learning workloads.
---
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**[Lecture 2: ML Refresher / Softmax Regression](cmu-dlsys-lecture-2-ml-refresher-softmax-regression.qmd)**
Hypothesis classes, loss functions, optimization, softmax regression, cross-entropy, gradient descent, SGD, and the softmax gradient.
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