The Backpropagation algorithm for a math student
A Deep Neural Network (DNN) is a composite function of vector-valued functions, and in
order to train a DNN, it is necessary to calculate the gradient of the loss function with respect …
order to train a DNN, it is necessary to calculate the gradient of the loss function with respect …
Amenable sparse network investigator
S Damadi, E Nouri, H Pirsiavash - Science and Information Conference, 2023 - Springer
Abstract We present “Amenable Sparse Network Investigator"(ASNI) algorithm that utilizes a
novel pruning strategy based on a sigmoid function that induces sparsity level globally over …
novel pruning strategy based on a sigmoid function that induces sparsity level globally over …
Learning a Sparse Neural Network using IHT
S Damadi, S Zolfaghari, M Rezaie, J Shen - arXiv preprint arXiv …, 2024 - arxiv.org
The core of a good model is in its ability to focus only on important information that reflects
the basic patterns and consistencies, thus pulling out a clear, noise-free signal from the …
the basic patterns and consistencies, thus pulling out a clear, noise-free signal from the …