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Linear computation coding is a recent method aimed to reduce the computational effort for matrix-vector multiplications.
Abstract: We introduce the new concept of computation coding. For linear functions, we present an algorithm to reduce the computational cost of multiplying ...
Missing: Convolutional | Show results with:Convolutional
Jan 31, 2021 · We present an algorithm to reduce the computational cost of multiplying an arbitrary given matrix with an unknown column vector.
Missing: Convolutional | Show results with:Convolutional
We present an algorithmic approach to reduce the computational cost of multiplying a constant matrix with a variable vector.
Missing: Convolutional | Show results with:Convolutional
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Jan 31, 2021 · We conjecture that neural networks need neither have precise weights nor be densely connected, if they are sufficiently deep. As in computation ...
Missing: Convolutional | Show results with:Convolutional
Oct 16, 2023 · These neural networks harness the power of Linear Algebra, specifically through convolution operations, to identify patterns within images.
First, the neurons would be computing a linear function over the input, while the three stacks of CONV layers contain non-linearities that make their features ...
In this short tutorial, we'll go through an introduction to 2D convolutions and apply a convolutional network to an image to prepare for creating normative ...
This tutorial demonstrates training a simple Convolutional Neural Network (CNN) to classify CIFAR images.