Bücher Kostenlos Grokking Deep Learning
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Grokking Deep Learning
Bücher Kostenlos Grokking Deep Learning
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Über den Autor und weitere Mitwirkende
Andrew Trask is a PhD student at Oxford University, funded by the Oxford-DeepMind Graduate Scholarship, where he researches Deep Learning approaches with special emphasis on human language. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning where he trained the world's largest artificial neural network with over 160 billion parameters, and helped guide the analytics roadmap for the Synthesys cognitive computing platform which tackles some of the most complex analysis tasks across government intelligence, finance, and healthcare industries.
Produktinformation
Taschenbuch: 336 Seiten
Verlag: Manning Publications; Auflage: 1 (15. Mai 2019)
Sprache: Englisch
ISBN-10: 1617293709
ISBN-13: 978-1617293702
Größe und/oder Gewicht:
18,4 x 1,9 x 23,5 cm
Durchschnittliche Kundenbewertung:
2.0 von 5 Sternen
1 Kundenrezension
Amazon Bestseller-Rang:
Nr. 328.904 in Bücher (Siehe Top 100 in Bücher)
This book spends any annoying amount of space for "explaining" and "visualising" basic vector and matrix operations.I have a mathematical background so I grokked this a long time ago.I tried to skip foreward, but no, still no deep learning specialities only more "visualising", "explaining" and "simplifying".In the end I gave up.A wasted 20€ for me. Your mileage may vary...
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