Deep learning

Y LeCun, Y Bengio, G Hinton - nature, 2015 - nature.com
Deep learning allows computational models that are composed of multiple processing
layers to learn representations of data with multiple levels of abstraction. These methods …

[图书][B] Deep Learning: Research and Applications

S Bhattacharyya, V Snasel, AE Hassanien, S Saha… - 2020 - books.google.com
This book focuses on the fundamentals of deep learning along with reporting on the current
state-of-art research on deep learning. In addition, it provides an insight of deep neural …

Deep learning

N Rusk - Nature Methods, 2016 - nature.com
A powerful form of machine learning that enables computers to solve perceptual problems
such as image and speech recognition is increasingly making an entry into the biological …

[图书][B] Dive into deep learning

A Zhang, ZC Lipton, M Li, AJ Smola - 2023 - books.google.com
Deep learning has revolutionized pattern recognition, introducing tools that power a wide
range of technologies in such diverse fields as computer vision, natural language …

[图书][B] Deep learning

JD Kelleher - 2019 - books.google.com
An accessible introduction to the artificial intelligence technology that enables computer
vision, speech recognition, machine translation, and driverless cars. Deep learning is an …

[图书][B] Deep learning: fundamentals, theory and applications

K Huang, A Hussain, QF Wang, R Zhang - 2019 - Springer
Over the past 10 years, deep learning has attracted a lot of attention, and many exciting
results have been achieved in various areas, such as speech recognition, computer vision …

[图书][B] Deep learning

I Goodfellow, Y Bengio, A Courville - 2016 - books.google.com
An introduction to a broad range of topics in deep learning, covering mathematical and
conceptual background, deep learning techniques used in industry, and research …

Deep learning

X Hao, G Zhang, S Ma - International Journal of Semantic …, 2016 - World Scientific
Deep learning is a branch of machine learning that tries to model high-level abstractions of
data using multiple layers of neurons consisting of complex structures or non-liner …

Intriguing properties of neural networks

C Szegedy, W Zaremba, I Sutskever, J Bruna… - arXiv preprint arXiv …, 2013 - arxiv.org
Deep neural networks are highly expressive models that have recently achieved state of the
art performance on speech and visual recognition tasks. While their expressiveness is the …

[图书][B] Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling

A Bhardwaj, W Di, J Wei - 2018 - books.google.com
Get to grips with the essentials of deep learning by leveraging the power of Python Key
Features Your one-stop solution to get started with the essentials of deep learning and …