Artificial Neural Networks and Language
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Section 4: Artificial Neural Networks (First Lecture: Artificial Neural Networks)
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Bayesian Learning for Neural Networks – Lecture Notes in Statistics, 118 – Springer Verlag
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Evolutionary Deep Learning: Genetic Algorithms and Neural Networks
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Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles
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Artificial Intelligence for Business: What You Need to Know about Machine Learning and Neural Networks
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Toward Artificial General Intelligence: Deep Learning, Neural Networks, Generative AI
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Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, 3rd Edition
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Baby Teacher: Nurturing Neural Networks From Birth to Age Five: Nurturing Neural Networks From Birth to Age Five
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Neural Networks: Neural Networks Tools and Techniques for Beginners
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Parallel Architectures for Artificial Neural Networks: Paradigms and Implementations: 4 (Systems)
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Graph Neural Networks in Practice: Design, Train, and Apply GNNs for Real-World AI Systems
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The Principles of Deep Learning Theory – Cambridge University Press
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Weakly Connected Neural Networks – Applied Mathematical Sciences, 126
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Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks (Advances in Computer Vision and Pattern Recognition)
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PyTorch Tutorial: A Beginner's Guide to Building Neural Networks, Training Deep Learning Models, and Developing AI Applications with Python
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Graph Neural Networks for Real-World AI Systems: Architectures, Training Pipelines, and Scalable Graph Intelligence with GCN, GAT, GraphSAGE, and PyTorch Geometric
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Artificial Intelligence: An Illustrated History: From Medieval Robots to Neural Networks (Sterling Illustrated Histories)
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Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays: 514 (Studies in Systems, Decision and Control, 514)
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Ultimate Neural Network Programming with Python: Create Powerful Modern AI Systems by Harnessing Neural Networks with Python, Keras, and TensorFlow (English Edition))
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Evolving Probabilistic Spiking Neural Networks: Modelling and Pattern Recognition of Spatio-temporal Brain Data (EEG)
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Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications, VOL 2
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Edge Computing with FPGAs: Synthesize hardware-accelerated neural networks and custom SoC architectures at the edge
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Computational Neuroscience: An Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks
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Quantum Machine Learning: Quantum Algorithms and Neural Networks (Quantum Computing)
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Common LISP Modules: Artificial Intelligence in the Era of Neural Networks and Chaos Theory
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