19 rezultatov
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Hands-On Neural Network Programming with C#(2018) R. COLE, MATTThis book will give you a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with C#. From simple perceptrons through GRU’s, you’ll learn to understand and implement these technologies using theVezava: Mehka58,90 € -
Neural Networks for Pattern Recognition(1995) HINTON, GEOFFREYProviding a comprehensive account of neural networks from a statistical perspective, this book emphasizes on pattern recognition, which represents the area of greatest applicability for neural networks in contemporary times.Vezava: Mehka147,54 € -
Genetic Algorithms and Machine Learning for Programmers(2019) BUONTEMPO, FRANCESVezava: Mehka70,32 € -
Machine Learning Pocket Reference(2019) HARRISON, MATTWith detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient reVezava: Mehka33,63 € -
Neuromorphic Circuits for Nanoscale Devices(2019) MAZUMDER, PINAKI,YILMAZ, YALCIN,EBONG, IDONGESITNeuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide insight into how the operational principles of the nanoscale devices can be utilized for the design of neuroVezava: Trda127,77 € -
AI by Design(2022) CAMPBELL, CATRIONAAI by Design introduces AI and its importance to our future. Exploring behavioural psychology, economics, and real-life and historical examples, Campbell predicts five future scenarios with AI, orientated around the "Singularity" - the moment when AI exceVezava: Mehka49,41 € -
Deep Learning on Graphs(2021) MA, YAO (MICHIGAN STATE UNIVERSITY),TANG, JILIANG (MICHIGAN STATE UNIVERSITY)This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustness, aVezava: Trda85,75 € -
Elements of Causal Inference(2017) PETERS, JONAS (ASSOCIATE PROFESSOR OF STATISTICS, UNIVERSITY OF COPENHAGEN),JANZING, DOMINIK (SENIOR RESEARCH SCIENTIST, MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS),SCHOLKOPF, BERNHARD (DIRECTOR OF THE MAX PLANCK INSTITUTE FOR INTELLIGENT IN TUBINGEN, GERMANY, PROFESSOR FOR MACHINE LEA, MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS)Vezava: Trda63,96 € -
Deep Network Design for Medical Image Computing(2022) LIAO, HAOFU (APPLIED SCIENTIST, REKOGNITION AND VIDEO ANALYSIS TEAM, AMAZON WEB SERVICES, INC, CA, USA),ZHOU, S. KEVIN (PRINCIPAL KEY EXPERT, MEDICAL IMAGE ANALYSIS, SIEMENS HEALTHCARE TECHNOLOGY CENTER, PRINCETON, NEW JERSEY, USA),LUO, JIEBO (PROFESSOR OF COMPUTER SCIENCE, UNIVERSITY OF ROCHESTER, NY, USA)Vezava: Mehka129,13 € -
Machine Learning with Neural Networks(2021) MEHLIG, BERNHARD (GOTEBORGS UNIVERSITET, SWEDEN)This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fundamental physical and mathematical principles of the topic are described alongside current applications in sVezava: Trda73,50 €
