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📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

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Lec 23. Metrized Deep Learning
ML Fundamentals
Lec 23. Metrized Deep Learning
MIT OpenCourseWare Advanced 1mo ago
3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch
ML Fundamentals
3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch
MIT OpenCourseWare Advanced 3mo ago
Lecture 2: Linear Algebra
ML Fundamentals
Lecture 2: Linear Algebra
MIT OpenCourseWare Advanced 4mo ago
Lecture 25: Stochastic Calculus (cont.); Stochastic Differential Equations
ML Fundamentals
Lecture 25: Stochastic Calculus (cont.); Stochastic Differential Equations
MIT OpenCourseWare Advanced 4mo ago
Class 28 Video: Feature Extraction and Machine Learning (II)
ML Fundamentals
Class 28 Video: Feature Extraction and Machine Learning (II)
MIT OpenCourseWare Advanced 5mo ago
Lecture 5: Sums
ML Fundamentals
Lecture 5: Sums
MIT OpenCourseWare Advanced 8mo ago
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