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Week 5 – Practicum: 1D multi-channel convolution and autograd
CUDA Crash Course: Tiled 1-D Convolution
Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization
1D convolution for neural networks, part 1: Sliding dot product
1D convolution for neural networks, part 7: Weight gradient
1D 2D 3D 4D 5D 6D 7D 8D 9D 10D 11D 12D
Lecture 1D : A simple example of learning
2021 lecture25 QFT Amplitude Estimation
1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jeff Roach
Lecture 7 Convolution concept (1D and 2D); 1D Basic Convolution Kernel, and constant cache
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Last Updated: August 24, 2026
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