Neural networks and machine learning /

Explanation-based neural network learning : a lifelong learning approach /
by: Thrun, Sebastian, 1967-
Published: (1996)

Neural computing architectures : the design of brain-like machines /
Published: (1989)

Recurrent neural networks for prediction : learning algorithms, architectures and stability /
by: Mandic, Danilo P.
Published: (2001)

Recurrent neural networks for prediction : learning algorithms, architectures, and stability /
by: Mandic, Danilo P.
Published: (2001)

Neural computation in Hopfield networks and Boltzmann machines /
by: Coughlin, James P.
Published: (1995)

Applying the idiomatic design pattern to convolutional neural networks /
Published: (2020)

Advances in neural information processing systems 19 : proceedings of the 2006 conference /
Published: (2007)

Dataset shift in machine learning /
Published: (2009)

Applications of neural networks and machine learning in image processing IX : 19-20 January 2005, San Jose, California, USA /
Published: (2005)

Machine learning for data streams : with practical examples in MOA /
by: Bifet, Albert, et al.
Published: (2017)

Introduction to deep learning and neural networks with Python /
by: Gad, Ahmed, et al.
Published: (2020)

Artificial neural networks : learning algorithms, performance evaluation, and applications /
by: Karayiannis, N. B. (Nicolaos B.), 1960-
Published: (2011)

Large-scale kernel machines /
Published: (2007)

Deep learning in Python : creating a convolutional neural network.
Published: (2019)

Neural networks, machine learning, and image processing : mathematical modelling and applications /
Published: (2022)

Brian Uzzi discusses innovation with machine learning & neural networks.
Published: (2019)

Neural networks and learning machines /
by: Haykin, Simon S., 1931-
Published: (2009)

Hands-on graph neural networks using Python : practical techniques and architectures for building powerful graph and deep learning apps with PyTorch /
by: Labonne, Maxime
Published: (2023)

Learning machine translation /
Published: (2009)

Deep learning : deep neural network for beginners using Python.
Published: (2023)

Learning and generalisation : with applications to neural networks /
by: Vidyasagar, M. (Mathukumalli), 1947-
Published: (2003)

Deep learning in Python : different types of deep learning network.
Published: (2019)

Demystifying deep learning : an introduction to the mathematics of neural networks /
by: Santry, Douglas J.
Published: (2024)

Neural machine translation /
by: Koehn, Philipp
Published: (2020)

Principles and labs for deep learning /
by: Huang, Shih-Chia
Published: (2021)

On-line learning in neural networks /
Published: (1998)

An introduction to computational learning theory /
by: Kearns, Michael J.
Published: (1994)

Neural network learning : theoretical foundations /
by: Anthony, Martin
Published: (1999)

Mechanisms of implicit learning : connectionist models of sequence processing /
by: Cleeremans, Axel
Published: (1993)

Graphical models for machine learning and digital communication /
by: Frey, Brendan J.
Published: (1998)

Optimization for machine learning /
Published: (2012)

Neural Search, from Prototype to Production with Jina Build Deep Learning-Powered Search Systems That You Can Deploy and Manage with Ease /
by: Wang, Bo (Artificial intelligence scientist), et al.
Published: (2022)

Learning with recurrent neural networks /
by: Hammer, Barbara, 1970-
Published: (2000)

Machine learning in non-stationary environments : introduction to covariate shift adaptation /
by: Sugiyama, Masashi, 1974-
Published: (2012)

Learning with recurrent neural networks /
by: Hammer, Barbara, 1970-
Published: (2000)

Modular learning in neural networks : a modularized approach to neural network classification /
by: Hrycej, Tomas, 1954-
Published: (1992)