rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Math and architectures of deep learning
  name:
    name part: Chaudhury, Krishnendu
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Ashok, Ananya H.
    role:
      role term: author
  name:
    name part: Narumanchi, Sujay
    role:
      role term: author
  name:
    name part: Shankar, Devashish
    role:
      role term: author
  name:
    name part: Banerjee, Prithviraj
    role:
      role term: writer of foreword.
  name:
    name part: EBSCOhost
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxvi, 523 pages) : illustrations.
  table of contents: An overview of machine learning and deep learning -- Vectors, matrices, and tensors in machine learning -- Classifiers and vector calculus -- Linear algebraic tools in machine learning -- Probability distributions in machine learning -- Bayesian tools for machine learning -- Function approximation : how neural networks model the world -- Training neural networks : forward propagation and backpropagation -- Loss, optimization, and regularization -- Convolutions in neural networks -- Neural networks for image classification and object detection -- Manifolds, homeomorphism, and neural networks -- Fully Bayes model parameter estimation -- Latent space and generative modeling, autoencoders, and variational autoencoders.
  note: Krishnendu Chaudhury, with Ananya H. Ashok, Sujay Narumanchi, Devashish Shankar ; foreword by Prith Banerjee.
  note: Includes index.
  subject:
    topic: Deep learning (Machine learning)
  subject:
    topic: Deep learning (Machine learning)
    topic: Mathematics
  subject:
    topic: Python (Computer program language)
  subject:
    topic: Apprentissage profond
  subject:
    topic: Apprentissage profond
    topic: Mathématiques
  subject:
    topic: Python (Langage de programmation)
  subject:
    topic: Deep learning (Machine learning)
  subject:
    topic: Python (Computer program language)
  classification: Q325.73 .C43 2024
  classification: 006.3/1
  related item:
    identifier: (OCoLC)1388641822
  identifier: 9781638350804 (electronic bk.)
  identifier: 1638350809 (electronic bk.)
  identifier: 9781617296482
  identifier: 1617296481
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 240620
    record change date: 20240620144522.7
    record identifier: in00005490306
    language of cataloging:
      language term: eng