Sep 13, 2019 · More specifically, on page 337 (in section 9.5: Variants of the Basic Convolution Function) the authors give a mathematical description of what the convolution operation looks …

Mar 13, 2019 · I am looking for a book that goes through the mathematical aspects of neural networks, from simple forward passage of multilayer perceptron in matrix form or …

Sep 22, 2018 · What does oplus symbol ⊕ do for 2 images in Convolution Neural Networks Ask Question Asked 7 years, 3 months ago Modified 7 years, 2 months ago

Dec 17, 2017 · 3 Good morning, I am coming from learning machine learning convolution for neural nets and was wondering about cross-correlation vs convolution. I referenced this …

Oct 17, 2019 · ConvNet is a class of neural networks which use kernels to extract position-dependent data from data and perform further classification or regression operations on it. …

Oct 8, 2017 · Explore related questions discrete-mathematics summation convolution neural-networks See similar questions with these tags.

Mar 22, 2021 · matrices convolution neural-networks linearization Share Cite edited Mar 22, 2021 at 3:48

I encountered convolution in signal process and CNN neural network. I had a hard time understanding convolution's mathematical properties and their connections to the applications. …

I was reading Yoshua's Bengio [book] [1] on convolutional neural networks and it has small section that described/explains the convolution in the context of estimating the location of a …

Apr 10, 2024 · I personally had experience with a book by Daniel Roberts, Sho Yaida, Boris Hanin The Principles of Deep Learning Theory which formulates a theory of Deep Neural Networks in …