Computational Methods for Deep Learning Theory, Algorithms, and Implementations /

The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this...

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Bibliografiska uppgifter

Huvudupphovsman:	Yan, Wei Qi (Författare, medförfattare)
Institutionell upphovsman:	SpringerLink (Online service)
Materialtyp:	Elektronisk E-bok
Språk:	engelska
Publicerad:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Upplaga:	2nd ed. 2023.
Serie:	Texts in Computer Science,
Ämnen:	Machine learning. Neural networks (Computer science) . Computer science > Mathematics. Image processing > Digital techniques. Computer vision. Artificial intelligence. Machine Learning. Mathematical Models of Cognitive Processes and Neural Networks. Mathematics of Computing. Computer Imaging, Vision, Pattern Recognition and Graphics. Artificial Intelligence.
Länkar:	https://doi.org/10.1007/978-981-99-4823-9
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