Evolutionary Deep Learning: Genetic Algorithms and Neural Networks
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Bayesian Learning for Neural Networks – Lecture Notes in Statistics, 118 – Springer Verlag
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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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Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, 3rd Edition
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The Principles of Deep Learning Theory – Cambridge University Press
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MULTIMODAL EMOTION RECOGNITION USING DEEP LEARNING NETWORKS: Advanced Deep Learning and Fusion Techniques for Multimodal Emotion Recognition
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Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications, VOL 2
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Hands-On PyTorch for AI and Machine Learning 2026: A Practical Guide to Building Smart Models, Training Neural Networks, and Deploying Deep Learning Solutions with Python
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Supporting Student Personal Learning Networks (The Innovative Educator)
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Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks
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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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Neural Networks with R: Build smart systems by implementing popular deep learning models in R
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Early Modern Universities: Networks of Higher Learning: 31 (Scientific and Learned Cultures and Their Institutions, 31)
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Fundamentals of Artificial Intelligence and Machine Learning: Regression, Neural Networks
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Quantum Machine Learning: Quantum Algorithms and Neural Networks (Quantum Computing)
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Deep Learning with PyTorch: Build, Train, and Tune Neural Networks Using Python Tools
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Deep Learning for Computer Vision – Train neural networks with TensorFlow and Keras
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Neural Networks: An Essential Beginners Guide to Artificial Neural Networks and their Role in Machine Learning and Artificial Intelligence
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The Power of Professional Learning Networks: Traversing the present; transforming the future
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Opening the Door to Deep Learning: From Artificial Intelligence to the First Neural Networks (Deep Learning Foundations)
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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks (SpringerBriefs in Computer Science)
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Progressive Deep Learning with PyTorch: A step by step guide for Implementing Neural Networks, Transformers, and Generative Models (Mastering Deep Learning & Machine learning)
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