Beispielbild für diese ISBNAdvances in Neural Computation, Machine Learning, and Cognitive Research VI - Selected Papers from…
Verlag: Springer
2023 Kartoniert, 596 Seiten, 235mm x 155mm x 32mm, Sprache(n): eng
Beispielbild für diese ISBNAdvances in Neural Computation, Machine Learning, and Cognitive Research VI - Selected Papers from…
Verlag: Springer
2022 Gebunden, 596 Seiten, 241mm x 160mm x 38mm, Sprache(n): eng Reports on advanced theories and applications of artificial neural networksFocuses on problems in neuroscience, systems biophysics, cognitive research, and adaptive controlMerges topics in neurobiology, machine learning, and evolut…
Beispielbild für diese ISBNNeuro-Symbolic Artificial Intelligence - Bridging Logic and Learning
von Bikram Pratim Bhuyan, Amar Ramdane-Cherif, Thipendra P. Singh, Ravi Tomar Verlag: Springer
2024 Gebunden, 372 Seiten, 241mm x 160mm x 26mm, Sprache(n): eng

Advanced Forecasting with Python - Mastering Modern Forecasting Techniques with Machine Learning a…
von Joos Korstanje Verlag: Apress
2025 Kartoniert, 460 Seiten, 254mm x 178mm x 25mm, Sprache(n): eng
Beispielbild für diese ISBNRepetitive Motion Planning and Control of Redundant Robot Manipulators
von Yunong Zhang, Zhijun Zhang Verlag: Springer
2013 Gebunden, 216 Seiten, 241mm x 160mm x 18mm, Sprache(n): eng Reviews recent work on quadratic program based repetitive motion planning methods for redundant robot manipulatorsProvides different optimization schemes and simulations, neural network design and applicationIncludes theory analysi…
Beispielbild für diese ISBNRepetitive Motion Planning and Control of Redundant Robot Manipulators
von Yunong Zhang, Zhijun Zhang Verlag: Springer
2015 Kartoniert, 216 Seiten, 235mm x 155mm x 12mm, Sprache(n): eng Reviews recent work on quadratic program based repetitive motion planning methods for redundant robot manipulators Provides different optimization schemes and simulations, neural network design and application Includes theory a…
Beispielbild für diese ISBNPro Deep Learning with TensorFlow 2. 0 - A Mathematical Approach to Advanced Artificial Intelligen…
von Santanu Pattanayak Verlag: Apress
2023 Kartoniert, 672 Seiten, 254mm x 178mm x 36mm, Sprache(n): eng Teaches how to deploy deep learning applications using TensorFlow 2.0 in a relatively short period of timeExplains different deep learning methods for supervised and unsupervised machine learningCovers advanced deep learning tech…
Beispielbild für diese ISBNArtificial Neural Networks in Pattern Recognition - 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur,…
Verlag: Springer
2020 Kartoniert, 320 Seiten, 235mm x 155mm x 18mm, Sprache(n): eng
Beispielbild für diese ISBNArtificial Neural Networks - Methods and Applications in Bio-/Neuroinformatics
Verlag: Springer
2014 Gebunden, 500 Seiten, 241mm x 160mm x 33mm, Sprache(n): eng Presents the latest research on artificial neural networksGives emphasis to neural networks and machine learning topics in bio-neuroinformaticsEdited and written by experts in the field
Beispielbild für diese ISBNTensorFlow 2. x in the Colaboratory Cloud - An Introduction to Deep Learning on Google's Cloud Ser…
von David Paper Verlag: Apress
2021 Kartoniert, 288 Seiten, 254mm x 178mm x 16mm, Sprache(n): eng Introduces Google's Colab cloud service for executing deep learning applications in PythonProvides examples in downloadable Jupyter notebooks for easy executionTeaches foundational principles of deep learning that are needed for…









