
Convolutional Neural Networks
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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 differentiation of activation …
Sep 13, 2019 · I'm currently studying deep learning with the book Deep Learning (Goodfellow et al., 2015) and had a question regarding the convolution operation of convolutional neural networks …
Aug 9, 2025 · I'm implementing a Convolutional Neural Network and im2col optimization from scratch (without deep learning libraries), and I got stuck when computing the backpropagation for the kernel.
I'm trying to follow a blog post about Graph Convolutional Neural Networks. To set up some notation, the above blog post denotes a graph $\mathcal {G}$, it's adjacency matrix $A$, and the degree matrix $D$.
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 spaceship with a …
Jul 9, 2020 · There are many examples of neural networks for MNIST hand-written digits classification problem, where the output is a 10-element softmax-vector with one maximum value corresponding to …