[PDF][PDF] Deep learning toolbox

MH Beale, MT Hagan, HB Demuth - R2018b User's Guide; The …, 2018 - research.iaun.ac.ir
The software described in this document is furnished under a license agreement. The
software may be used or copied only under the terms of the license agreement. No part of …

DLBench: an experimental evaluation of deep learning frameworks

N Mahmoud, Y Essam, R Elshawi… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Recently, deep learning has become one of the most disruptive trends in the technology
world. Deep learning techniques are increasingly achieving significant results in different …

[图书][B] Guide to Deep Learning Basics

S Skansi - 2020 - Springer
Artificial neural networks came to existence in 1943 with the seminal paper by Walter Pitts
and Warren McCulloch. It is commonly said that the rest is history. But this history, which is …

Fastai: a layered API for deep learning

J Howard, S Gugger - Information, 2020 - mdpi.com
fastai is a deep learning library which provides practitioners with high-level components that
can quickly and easily provide state-of-the-art results in standard deep learning domains …

[PDF][PDF] Alphabet soup of deep learning topics

M Stamp - RUA/alpha. pdf, 2019 - cs.sjsu.edu
In this tutorial, we discuss a variety of topics that are related to deep learning. Most topics are
covered relatively briefly, and in all cases, references for further reading are provided. The …

Recent advances in deep learning

N Ketkar, J Moolayil, N Ketkar, J Moolayil - Deep Learning with Python …, 2021 - Springer
So far, this book has discussed important topics in the realm of deep learning: feed-forward
networks, convolutional neural networks, and recurrent neural networks. We described their …

Understanding deep learning (still) requires rethinking generalization

C Zhang, S Bengio, M Hardt, B Recht… - Communications of the …, 2021 - dl.acm.org
Despite their massive size, successful deep artificial neural networks can exhibit a
remarkably small gap between training and test performance. Conventional wisdom …

A detailed comparative study of open source deep learning frameworks

G Al-Bdour, R Al-Qurran, M Al-Ayyoub… - arXiv preprint arXiv …, 2019 - arxiv.org
Deep Learning (DL) is one of the hottest trends in machine learning as DL approaches
produced results superior to the state-of-the-art in problematic areas such as image …

On the origin of deep learning

H Wang, B Raj - arXiv preprint arXiv:1702.07800, 2017 - arxiv.org
This paper is a review of the evolutionary history of deep learning models. It covers from the
genesis of neural networks when associationism modeling of the brain is studied, to the …

Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact

J Egger, A Pepe, C Gsaxner, Y Jin, J Li… - PeerJ Computer …, 2021 - peerj.com
Deep learning belongs to the field of artificial intelligence, where machines perform tasks
that typically require some kind of human intelligence. Deep learning tries to achieve this by …