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ReleaseHive

Proteinoid Proto-Neural Networks (World Scientific Publishing Company Book Unconventional Computing) By: Andrew Adamatzky, Panagiotis Mougkogiannis

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The Mathematics of Large Language Models: Machine Learning Theory Made Readable: LLMs, Transformers, Diffusion, Neural Networks, and Generative AI By: Tobias Heussner

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Linkedin Learning – Artificial Intelligence Foundations Neural Networks UPDATED January 29 2026 BOOKWARE-LERNSTUF

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From Neural Computation to Optimality-Theoretic Grammar Volume II: Linguistic and Philosophical Implications By: Paul Smolensky, G*raldine Legendre

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The Harmonic Mind, Volume 1: From Neural Computation to Optimality-Theoretic Grammar Volume I By: Paul Smolensky, G*raldine Legendre

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Acute Stress Processing in Burnout: Differences in the Association Between Acute Cortisol and Neural Stress Response in Women and Men By: Tabea Krause

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Artificial Neural Networks: Alpha Unpredictability and Chaotic Dynamics By: Marat Akhmet, Madina Tleubergenova, Akylbek Zhamanshin, and 1 more

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Artificial Intelligence and Brain Research: Neural Networks, Deep Learning and the Future of Cognition By: Patrick Krauss

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Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery By: Katy Warr

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Neural Network Computer Vision with OpenCV 5: Build computer vision solutions using Python and DNN module By: Gopi Krishna Nuti

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Beginning Deep Learning with TensorFlow 2: Work with Keras, MNIST Data Sets, and Advanced Neural Networks By: Xiangming Zeng, Long Liangqu

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Building Neural Networks from Scratch with Python By: L D Knowings

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Neural Networks for Beginners: Comprehensive Guide to Understanding the Power of Artificial Intelligence By: Sam Campbell

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Getting Started With ChatGPT By: Neural Quill

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Artificial Intelligence and Life: A Complete Guide to the Basic Concepts in AI, Neural Networks, Machine Learning and Data Science By: Hans Weber [Audiobook]

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Binary Neural Networks: Algorithms, Architectures, and Application By: David Doermann, Baochang Zhang, Sheng Xu, and 2 more

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Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks By: Keith L Downing

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Evolutionary Deep Learning: Genetic algorithms and neural networks By: Micheal Lanham

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Graph Neural Networks: Unlock a Whole New Range of Deep Learning Applications with Graph Data By: Maxime Labonne

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State of the Art in Neural Networks and Their Applications: Volume 1 By: Jasjit S Suri, Ayman S El-Baz

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