Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XV
Biao Luo
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Hands-On Ml Projects with OpenCV : Master Computer Vision and Machine Learning Using OpenCV and Python
Mugesh S.
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Preserving Medical Big Data Security with Soft Computing
Priya Shanmuga
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AI Neural Network Expert System Development
Haider Khalaf
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Learning PyTorch 2.0 : Experiment deep learning from basics to complex models using every potential capability of Pythonic PyTorch
Matthew Rosch
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AI Mastery Unleashed : The Ultimate ChatGPT Resource Vault
Alex Veridian
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Introduction to Connectionist Modelling of Cognitive Processes
Peter McLeod
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Neural and Adaptive Systems : Fundamentals through Simulations
Jose C. Principe
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Add to BasketThe Mind within the Net : Models of Learning, Thinking, and Acting
Manfred (Universitatsklinikum Ulm) Spitzer
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Add to BasketTensorFlow for Deep Learning : From Linear Regression to Reinforcement Learning
Bharath Ramsundar
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Add to BasketConnectionism and the Mind : Parallel Processing, Dynamics, and Evolution in Networks
William (Wake Forest University, North Carolina) Bechtel
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Add to BasketIntroduction To The Theory Of Neural Computation
John A. Hertz
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Spiking Neuron Models : Single Neurons, Populations, Plasticity
Wulfram (Ecole Polytechnique Federale de Lausanne) Gerstner
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Neural Computing - An Introduction
R (Department of Computer Science, University of York, UK) Beale
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Neural Networks for Modelling and Control of Dynamic Systems : A Practitioner’s Handbook
M. Norgaard
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An Introduction to Neural Networks
James A. (Brown University) Anderson
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Add to BasketNot Exactly : In Praise of Vagueness
Kees (Reader in Computing Science, University of Aberdeen van Deemter
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Add to BasketStatistical Physics of Spin Glasses and Information Processing : An Introduction
Hidetoshi (, Department of Physics, Tokyo Institute of Tech Nishimori
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Bayesian Learning for Neural Networks
Radford M. Neal
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Neural Networks for Applied Sciences and Engineering : From Fundamentals to Complex Pattern Recognition
Sandhya Samarasinghe
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Neural Network Learning : Theoretical Foundations
Martin (London School of Economics and Political Science) Anthony
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Jumpstarting the Arduino 101
Yining Shi
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