Analysis of training time optimization for self-driving car using alternate max pooling layers

Analysis of training time optimization for self-driving car using alternate max pooling layers

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Библиографические подробности
Главные авторы:	Arefin, Kazi Ridwan, Huque, Md. Mashrukul, Tasin, Sheikh Sadaf, Khan, Ahmed Jawad, Abrar, Aareef
Другие авторы:	Alam, Md. Ashraful
Формат:	Диссертация
Язык:	English
Опубликовано:	BRAC University 2018
Предметы:	Autonomous Self-driving car NVIDIA model Max-pooling
Online-ссылка:	http://hdl.handle.net/10361/10123

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