Antil, Harbir, Díaz, Hugo, and Herberg, Evelyn. An optimal time variable learning framework for Deep Neural Networks. Retrieved from https://par.nsf.gov/biblio/10530063. Annals of Mathematical Sciences and Applications 8.3 Web. doi:10.4310/AMSA.2023.v8.n3.a4.

Antil, Harbir, Díaz, Hugo, & Herberg, Evelyn. An optimal time variable learning framework for Deep Neural Networks. Annals of Mathematical Sciences and Applications, 8 (3). Retrieved from https://par.nsf.gov/biblio/10530063. https://doi.org/10.4310/AMSA.2023.v8.n3.a4

Antil, Harbir, Díaz, Hugo, and Herberg, Evelyn. "An optimal time variable learning framework for Deep Neural Networks". Annals of Mathematical Sciences and Applications 8 (3). Country unknown/Code not available: International Press of Boston. https://doi.org/10.4310/AMSA.2023.v8.n3.a4. https://par.nsf.gov/biblio/10530063.

@article{osti_10530063,
place = {Country unknown/Code not available}, title = {An optimal time variable learning framework for Deep Neural Networks}, url = {https://par.nsf.gov/biblio/10530063}, DOI = {10.4310/AMSA.2023.v8.n3.a4}, abstractNote = {}, journal = {Annals of Mathematical Sciences and Applications}, volume = {8}, number = {3}, publisher = {International Press of Boston}, author = {Antil, Harbir and Díaz, Hugo and Herberg, Evelyn}, }