Skip to content

Explore Courses | Elder Research | Contact | LMS Login

Statistics.com Logo
  • Courses
    • See All Courses
    • Calendar
    • Intro stats for college credit
    • Faculty
    • Group training
    • Credit & Credentialing
    • Teach With Us
  • Programs/Degrees
    • Certificates
      • Analytics for Data Science
      • Biostatistics
      • Programming For Data Science – Python (Experienced)
      • Programming For Data Science – Python (Novice)
      • Programming For Data Science – R (Experienced)
      • Programming For Data Science – R (Novice)
      • Social Science
    • Undergraduate Degree Programs
    • Graduate Degree Programs
    • Massive Open Online Courses (MOOC)
  • Partnerships
    • Higher Education
    • Enterprise
  • Resources
    • About Us
    • Blog
    • Word Of The Week
    • News and Announcements
    • Newsletter signup
    • Glossary
    • Statistical Symbols
    • FAQs & Knowledge Base
    • Testimonials
    • Test Yourself
Menu
  • Courses
    • See All Courses
    • Calendar
    • Intro stats for college credit
    • Faculty
    • Group training
    • Credit & Credentialing
    • Teach With Us
  • Programs/Degrees
    • Certificates
      • Analytics for Data Science
      • Biostatistics
      • Programming For Data Science – Python (Experienced)
      • Programming For Data Science – Python (Novice)
      • Programming For Data Science – R (Experienced)
      • Programming For Data Science – R (Novice)
      • Social Science
    • Undergraduate Degree Programs
    • Graduate Degree Programs
    • Massive Open Online Courses (MOOC)
  • Partnerships
    • Higher Education
    • Enterprise
  • Resources
    • About Us
    • Blog
    • Word Of The Week
    • News and Announcements
    • Newsletter signup
    • Glossary
    • Statistical Symbols
    • FAQs & Knowledge Base
    • Testimonials
    • Test Yourself
Student Login

Blog

Home Blog CONVOLUTION and TENSOR

CONVOLUTION and TENSOR

Today's Words of the Week are convolution and tensor, key components of deep learning.

Deep learning is the engine behind current applications of artificial intelligence (most notably in image and speech recognition), and is really neural networks on steroids. Goodfellow et al, in their book Deep Learning, say that artificial neural networks (ANNs) is “one of the names that deep learning has gone by.” A simple neural network in supervised learning takes input data, “adjusts” it by a sequence of linear operations that start out randomly, converts it to a predicted output, then repeats the loop over and over until it “learns” a set of adjustments that do a good job of mapping the input to the known output.

Deep learning adds complexity and scale to the process. A convolution is an operation with two functions instead of the single linear multiplications in each layer of a simple network. Goodfellow et al use location measurements as an example – instead of using a single long/lat measurement, you would use a weighted average of measurements over time, with measurements closer in time being accorded higher weights. A tensor is the multidimensional extension of a matrix (i.e. scalar > vector > matrix > tensor). Tensor operations and convolutions add complexity and hence power to neural networks, allowing them to do unsupervised feature extraction and develop category identities.

Alan Blair, our deep learning expert, can tell you much more in his May 11 Deep Learning course.

Recent Posts

  • Oct 6: Ethical AI: Darth Vader and the Cowardly Lion
    /
    0 Comments
  • Oct 19: Data Literacy – The Chainsaw Case
    /
    0 Comments
  • Data Literacy – The Chainsaw Case
    /
    0 Comments

About Statistics.com

Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience in data analytics.

 The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV)

Our Links

  • Contact Us
  • Site Map
  • Explore Courses
  • About Us
  • Management Team
  • Contact Us
  • Site Map
  • Explore Courses
  • About Us
  • Management Team

Social Networks

Facebook Twitter Youtube Linkedin

Contact

The Institute for Statistics Education
2107 Wilson Blvd
Suite 850 
Arlington, VA 22201
(571) 281-8817

ourcourses@statistics.com

  • Contact Us
  • Site Map
  • Explore Courses
  • About Us
  • Management Team

© Copyright 2023 - Statistics.com, LLC | All Rights Reserved | Privacy Policy | Terms of Use

By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy.

Accept