PIRSA:19030056

PSI 2018/2019 - Machine Learning - Lecture 4

APA

Hayward, L. (2019). PSI 2018/2019 - Machine Learning - Lecture 4. Perimeter Institute. https://pirsa.org/19030056

MLA

Hayward, Lauren. PSI 2018/2019 - Machine Learning - Lecture 4. Perimeter Institute, Mar. 28, 2019, https://pirsa.org/19030056

BibTex

          @misc{ pirsa_19030056,
            doi = {},
            url = {https://pirsa.org/19030056},
            author = {Hayward, Lauren},
            keywords = {},
            language = {en},
            title = {PSI 2018/2019 - Machine Learning - Lecture 4},
            publisher = {Perimeter Institute},
            year = {2019},
            month = {mar},
            note = {PIRSA:19030056 see, \url{https://pirsa.org}}
          }
          

Lauren Hayward Perimeter Institute for Theoretical Physics

Abstract

Training, validation and testing datasets; methods that prevent overfitting; using supervised neural networks to classify phases of matter (classical Ising model, classical Ising gauge theory)