0 ratings
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
vare #: 91676668

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

vare #: 91676668

NOK 934

Prisdetaljer

Eksklusive frakt- og tollkostnader ( Frakt- og tollkostnader beregnes ved kassen )

*Alle varer importeres fra USA

På lager
USA Importert fra USA-butikk

Antall:

Bestill nå, så får du den omkring Fredag, Oktober 09
Våre beste leveringspartnere
  • fedex
  • dhl
Vis mer
U-Care-garanti:
Ingen
Velg en plan
fast shipping

Fast
Shipping

free return

Gratis
retur*

Sikret innpakking

Sikret innpakking

100 % originale produkter

100 % originale produkter

pci-dss

PCI DSS-samsvar

iso certified

ISO 27001-sertifisert


paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of USA store (110-120). Recommended power converters Kjøp nå.

Produkt detaljer

Shop Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow online at a best price in NORGE. 1789348463
  • Learn advanced state-of-the-art deep learning techniques and their applications using popular Python librariesKey FeaturesBuild a strong foundation in neural networks and deep learning with Python librariesExplore advanced deep learning techniques and their applications across computer vision and NLPLearn how a computer can navigate in complex environments with reinforcement learningBook DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you'll explore deep learning, and learn how to put machine learning to use in your projects.This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You'll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You'll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you'll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota.By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learnGrasp the mathematical theory behind neural networks and deep learning processesInvestigate and resolve computer vision challenges using convolutional networks and capsule networksSolve generative tasks using variational autoencoders and Generative Adversarial NetworksImplement complex NLP tasks using recurrent networks (LSTM and GRU) and attention modelsExplore reinforcement learning and understand how agents behave in a complex environmentGet up to date with applications of deep learning in autonomous vehiclesWho this book is forThis book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book.Table of ContentsMachine Learning - An IntroductionNeural NetworksDeep Learning FundamentalsComputer Vision With Convolutional NetworksAdvanced Computer VisionGenerating images with GANs and Variational AutoencodersRecurrent Neural Networks and Language ModelsReinforcement Learning TheoryDeep Reinforcement Learning for GamesDeep Learning in Autonomous Vehicles
Publisher Packt Publishing
Publication date January 16, 2019
Edition 2nd ed.
Language English
Print length 386 pages
ISBN-10 1789348463
ISBN-13 978-1789348460
Item Weight 1.59 pounds (720 grams)
Dimensions 7.5 x 0.87 x 9.25 inches (19.1 x 2.2 x 23.5 cm)

PRODUKTBESKRIVELSE

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

Har du noen spørsmål? Chat med oss

Kundespørsmål og svar

  • Spørsmål: Hvordan handle Python Deep Learning: Exploring deep learning online fra Ubuy?

    Svar: Det er enkelt å handle Python Deep Learning: Exploring deep learning online fra Ubuy.. Du trenger bare å søke etter produktet, velge fraktmetode mens du sjekker ut og få det levert til ditt sted.
  • Spørsmål: Er Python Deep Learning: Exploring deep learning tilgjengelig for nettbutikk i Norway?

    Svar: Ja, hos Ubuy Norway er dette produktet tilgjengelig for deg å handle til en rimelig pris.. Python Deep Learning: Exploring deep learning er ikke tilgjengelig lokalt, men du kan stole på oss med våre ekspressfrakttjenester.
  • Spørsmål: Hvor lang tid tar det å få produktet etter bestillingen?

    Svar: Leveringstiden for det bestilte produktet ditt varierer i henhold til hva du har bestilt og fraktmetoden du har valgt.. Den estimerte leveringstiden er nevnt under utsjekkingsprosessen, så vær bekymringsløs mens du handler.

Intelligence & Semantics Editorial Review

Ingen redaksjonelle anmeldelser funnet

Kundeanmeldelser og vurderinger

4.1
14 kunders vurderinger
  • 5 stjerne
    51%
  • 4 stjerne
    20%
  • 3 stjerne
    23%
  • 2 stjerne
    0%
  • 1 stjerne
    6%

Vurder dette produktet

Del tankene dine med andre kunder

Produktets prishistorikk

Viktig informasjon

  • Begrensninger: For produkter som sendes internasjonalt, vær oppmerksom på at eventuell produsentgaranti kan være ugyldig; produsentens serviceordninger er kanskje ikke tilgjengelige; produktmanualer, instruksjoner og sikkerhetsadvarsler er kanskje ikke på mottakerlandets språk; produktene (og medfølgende materiell) er kanskje ikke utformet i samsvar med mottakerlandets standarder, spesifikasjoner og merkekrav; og produktene samsvarer kanskje ikke med mottakerlandets krav til spenning og andre elektriske standarder (noe som kan kreve bruk av adapter eller omformer om nødvendig). Mottakeren er ansvarlig for å sikre at produktet lovlig kan importeres til mottakerlandet. Ved bestilling fra Ubuy eller dets datterselskaper er mottakeren registrert importør og må overholde alle lover og forskrifter i mottakerlandet.
  • Ikke alle produkter som er oppført på Ubuy er til salgs, da Ubuy er en global søkemotor. Produkter er underlagt eksport-/handelsreguleringer.