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_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}} }
Perimeter Institute for Theoretical Physics
Talk number
PIRSA:19030056
Collection
Talk Type
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)