Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch Paperback from other stores
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Hands-On Graph Neural Networks...
Design robust graph neural networks with PyTorch Geometric by combining graph ...
Design robust graph neural networks with PyTorch Geometric by combining graph theory and neural networks with the latest developments and apps Purchase of the print or Kindle book includes a free PDF eBook Key Features: Implement state-of-the-art...
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Modern AI Systems Engineering ...
Graph Neural Networks (GNNs) are transforming the way AI systems reason about ...
Graph Neural Networks (GNNs) are transforming the way AI systems reason about complex relational data. In domains like social networks recommendation engines knowledge graphs fraud detection and beyond the relationships between entities are often...
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Graph Neural Networks for Real...
Unlock the transformative power of Graph Neural Networks (GNNs) and elevate yo...
Unlock the transformative power of Graph Neural Networks (GNNs) and elevate your AI systems with contextual intelligence and relational reasoning. This comprehensive guide bridges the gap between cutting-edge research and practical application...
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Deep Learning with Python : Th...
You re looking for a complete Artificial Neural Network (ANN) guidethat teache...
You re looking for a complete Artificial Neural Network (ANN) guidethat teaches you everything you need to create a Neural Network model in Python right? You ve found the right Neural Networks book! This book will get you started in building your...
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Hands-On Deep Learning with R:...
Explore and implement deep learning to solve various real-world problems using...
Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow MXNet H2O and Deepnet Key Features Understand deep learning algorithms and architectures using R and determine which algorithm is...
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Concepts and Techniques of Gra...
Recent advancements in graph neural networks have expanded their capacities an...
Recent advancements in graph neural networks have expanded their capacities and expressive power. Furthermore practical applications have begun to emerge in a variety of fields including recommendation systems fake news detection traffic prediction...
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Undergraduate Topics in Comput...
This textbook discusses the design and implementation of basic algebraic graph...
This textbook discusses the design and implementation of basic algebraic graph algorithms and algebraic graph algorithms for complex networks employing matroids whenever possible. The text describes the design of a simple parallel matrix algorithm...
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Mastering PyTorch: Build power...
Master advanced techniques and algorithms for deep learning with PyTorch using...
Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use PyTorch 1.x to build advanced neural network models Learn to perform a wide range of tasks by implementing deep...
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Designing Knowledge Graphs wit...
Designing Knowledge Graphs with Neo4j is a practical hands-on guide for develo...
Designing Knowledge Graphs with Neo4j is a practical hands-on guide for developers architects and data professionals who want to build intelligent scalable systems using connected data.Knowledge graphs are becoming a foundational technology for...
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Hands-On PyTorch for AI and Ma...
Are you a developer data scientist or aspiring AI engineer looking to take you...
Are you a developer data scientist or aspiring AI engineer looking to take your skills to the next level with PyTorch? Hands-On PyTorch for AI and Machine Learning 2026 is your ultimate guide to mastering modern deep learning using the most flexible...
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In Action Graph Neural Network...
A hands-on guide to powerful graph-based deep learning models. Graph Neural Ne...
A hands-on guide to powerful graph-based deep learning models. Graph Neural Networks in Action teaches you to build cutting-edge graph neural networks for recommendation engines molecular modeling and more. This comprehensive guide contains coverage...
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Hands-On Artificial Intelligen...
Delve into the world of real-world financial applications using deep learning ...
Delve into the world of real-world financial applications using deep learning artificial intelligence and production-grade data feeds and technology with Python Key Features Understand how to obtain financial data via Quandl or internal systems...
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Deep Learning Projects Using T...
Work through engaging and practical deep learning projects using TensorFlow 2....
Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach the projects in this book will lead new programmers through the basics into developing practical deep learning applications. Deep learning is...
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Neural networks with python: A...
What if you could teach a machine to think-using just Python and your curiosit...
What if you could teach a machine to think-using just Python and your curiosity? Neural Network with Python Programming is your beginner s blueprint to mastering one of the most powerful technologies of our time-without needing a PhD years of...
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Network Science with Python: E...
Discover the use of graph networks to develop a new approach to data science u...
Discover the use of graph networks to develop a new approach to data science using theoretical and practical methods with this expert guide using Python printed in color Key Features: Create networks using data points and information Learn to...
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