Deep Learning Technologies and Applications (Hardback)
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Bester Preis: € 82,82 (vom 20.10.2018)1
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Deep Learning Technologies and Applications (Hardback) (2018)
EN HC NW
ISBN: 9781773612744 bzw. 1773612743, in Englisch, Arcler Education Inc, Canada, gebundenes Buch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Free shipping.
Von Händler/Antiquariat, Book Depository hard to find [63688905], London, United Kingdom.
Language: English. Brand new Book. Deep learning tools could very well end up with a substantially higher standard of accuracy and reliability in the recognition of physical objects, in some instances more advanced than individual overall human performance. Deep learning is an outlet of understanding, or perhaps studying, that takes advantage of a number of levels of non-linear processor jobs to discover how you can make representations of highly effective daily processes unswervingly from computer data.The first chapter refers to deep learning. Chapter 2 shows that when provided with genomic variance computer data from a variety of people, calculating the chance of complicated populace hereditary designs can often be improbable. Chapter 3 looks at how live-cell imaging provides you with started out a thrilling range into the function cellular heterogeneity performs in vibrant, subsistence devices.Chapter 4 looks at how protein contacts provide you with crucial information and facts for the comprehension of protein frameworks. Chapter 5 suggests a structure for foretelling updates in electronic community end user behavior. Chapter 6 looks at how precise computational recognition of promoters continues to be an issue.Chapter 7 shows that an innovative intrusion detection system ( IDS ) making use of a deep neural network ( DNN ) is offered to improve the safety of in-vehicular system. Chapter 8 looks at how event identification is easily the most basic and also crucial job in event-based all-natural vocabulary processing devices. Chapter 9 looks at getting a grasp on the cell-specific merging designs of transcription factors.Chapter 10 looks at what exactly is the source of our capability to understand orthographic information. Chapter 11 displays comprehending the simplest way to understand blockage at one area.
Von Händler/Antiquariat, Book Depository hard to find [63688905], London, United Kingdom.
Language: English. Brand new Book. Deep learning tools could very well end up with a substantially higher standard of accuracy and reliability in the recognition of physical objects, in some instances more advanced than individual overall human performance. Deep learning is an outlet of understanding, or perhaps studying, that takes advantage of a number of levels of non-linear processor jobs to discover how you can make representations of highly effective daily processes unswervingly from computer data.The first chapter refers to deep learning. Chapter 2 shows that when provided with genomic variance computer data from a variety of people, calculating the chance of complicated populace hereditary designs can often be improbable. Chapter 3 looks at how live-cell imaging provides you with started out a thrilling range into the function cellular heterogeneity performs in vibrant, subsistence devices.Chapter 4 looks at how protein contacts provide you with crucial information and facts for the comprehension of protein frameworks. Chapter 5 suggests a structure for foretelling updates in electronic community end user behavior. Chapter 6 looks at how precise computational recognition of promoters continues to be an issue.Chapter 7 shows that an innovative intrusion detection system ( IDS ) making use of a deep neural network ( DNN ) is offered to improve the safety of in-vehicular system. Chapter 8 looks at how event identification is easily the most basic and also crucial job in event-based all-natural vocabulary processing devices. Chapter 9 looks at getting a grasp on the cell-specific merging designs of transcription factors.Chapter 10 looks at what exactly is the source of our capability to understand orthographic information. Chapter 11 displays comprehending the simplest way to understand blockage at one area.
2
Deep Learning Technologies and Applications (2017)
EN HC NW
ISBN: 9781773612744 bzw. 1773612743, in Englisch, 336 Seiten, Arcler Press, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days, Real shipping costs can differ.
Von Händler/Antiquariat, DelhiBookStore.
Deep learning tools could very well end up with a substantially higher standard of accuracy and reliability in the recognition of physical objects, in some instances more advanced than individual overall human performance. Deep learning is an outlet of understanding, or perhaps studying, that takes advantage of a number of levels of non-linear processor jobs to discover how you can make representations of highly effective daily processes unswervingly from computer data.The first chapter refers to deep learning. Chapter 2 shows that when provided with genomic variance computer data from a variety of people, calculating the chance of complicated populace hereditary designs can often be improbable. Chapter 3 looks at how live-cell imaging provides you with started out a thrilling range into the function cellular heterogeneity performs in vibrant, subsistence devices.Chapter 4 looks at how protein contacts provide you with crucial information and facts for the comprehension of protein frameworks. Chapter 5 suggests a structure for foretelling updates in electronic community end user behavior. Chapter 6 looks at how precise computational recognition of promoters continues to be an issue.Chapter 7 shows that an innovative intrusion detection system ( IDS ) making use of a deep neural network ( DNN ) is offered to improve the safety of in-vehicular system. Chapter 8 looks at how event identification is easily the most basic and also crucial job in event-based all-natural vocabulary processing devices. Chapter 9 looks at getting a grasp on the cell-specific merging designs of transcription factors.Chapter 10 looks at what exactly is the source of our capability to understand orthographic information. Chapter 11 displays comprehending the simplest way to understand blockage at one area. Hardcover, Label: Arcler Press, Arcler Press, Product group: Book, Published: 2017-11-01, Studio: Arcler Press.
Von Händler/Antiquariat, DelhiBookStore.
Deep learning tools could very well end up with a substantially higher standard of accuracy and reliability in the recognition of physical objects, in some instances more advanced than individual overall human performance. Deep learning is an outlet of understanding, or perhaps studying, that takes advantage of a number of levels of non-linear processor jobs to discover how you can make representations of highly effective daily processes unswervingly from computer data.The first chapter refers to deep learning. Chapter 2 shows that when provided with genomic variance computer data from a variety of people, calculating the chance of complicated populace hereditary designs can often be improbable. Chapter 3 looks at how live-cell imaging provides you with started out a thrilling range into the function cellular heterogeneity performs in vibrant, subsistence devices.Chapter 4 looks at how protein contacts provide you with crucial information and facts for the comprehension of protein frameworks. Chapter 5 suggests a structure for foretelling updates in electronic community end user behavior. Chapter 6 looks at how precise computational recognition of promoters continues to be an issue.Chapter 7 shows that an innovative intrusion detection system ( IDS ) making use of a deep neural network ( DNN ) is offered to improve the safety of in-vehicular system. Chapter 8 looks at how event identification is easily the most basic and also crucial job in event-based all-natural vocabulary processing devices. Chapter 9 looks at getting a grasp on the cell-specific merging designs of transcription factors.Chapter 10 looks at what exactly is the source of our capability to understand orthographic information. Chapter 11 displays comprehending the simplest way to understand blockage at one area. Hardcover, Label: Arcler Press, Arcler Press, Product group: Book, Published: 2017-11-01, Studio: Arcler Press.
3
Symbolbild
Deep Learning Technologies and Applications
EN HC NW
ISBN: 9781773612744 bzw. 1773612743, in Englisch, Arcler Education Inc, gebundenes Buch, neu.
Von Händler/Antiquariat, THE SAINT BOOKSTORE [51194787], Southport, United Kingdom.
New copy - Usually dispatched within 2 working days, Books.
New copy - Usually dispatched within 2 working days, Books.
4
Symbolbild
Deep Learning Technologies and Applications (2018)
EN HC NW
ISBN: 9781773612744 bzw. 1773612743, in Englisch, Arcler Education Inc, gebundenes Buch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, plus shipping, Shipping area: EUR.
Von Händler/Antiquariat, The Saint Bookstore, MERSEYSIDE, Southport, [RE:4].
Hard cover.
Von Händler/Antiquariat, The Saint Bookstore, MERSEYSIDE, Southport, [RE:4].
Hard cover.
5
Symbolbild
Deep Learning Technologies and Applications (2018)
EN HC NW
ISBN: 9781773612744 bzw. 1773612743, in Englisch, Arcler Press, gebundenes Buch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, plus shipping, Shipping area: EUR.
Von Händler/Antiquariat, Herb Tandree Philosophy Books, Stroud, Glos, [RE:4].
Hardback.
Von Händler/Antiquariat, Herb Tandree Philosophy Books, Stroud, Glos, [RE:4].
Hardback.
6
Deep Learning Technologies and Applications
EN HC NW
ISBN: 9781773612744 bzw. 1773612743, in Englisch, Arcler Press, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Deep-Learning-Technologies-and-Applications~~Gerard-Prudhomme, Deep Learning Technologies and Applications, Hardcover.
Deep-Learning-Technologies-and-Applications~~Gerard-Prudhomme, Deep Learning Technologies and Applications, Hardcover.
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