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: Learn about convolutional neural networks in Python with data from the MNIST dataset (1998)
  name:
    name part: Shi, Feng
    name part: active 2019
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Odum Institute
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: This dataset is designed for teaching the convolutional neural network (CNN). The dataset is a subset of data derived from the 1998 MNIST dataset of handwritten digits, and the example demonstrates how to train the CNN to recognize handwritten digits in images. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Python.
  target audience: specialized
  note: Feng Shi and Odum Institute.
  note: Includes bibliographical references and index.
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Python (Computer program language)
  subject:
    topic: Réseaux neuronaux (Informatique)
  subject:
    topic: Python (Langage de programmation)
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Python (Computer program language)
  classification: QA76.87 .S55 2019
  classification: 006.32
  identifier: 9781526497802
  identifier: 1526497808
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190425
    record change date: 20240923170315.1
    record identifier: in00005494407
    language of cataloging:
      language term: eng