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.

Bibliografski detalji
Glavni autori:	Arefin, Kazi Ridwan, Huque, Md. Mashrukul, Tasin, Sheikh Sadaf, Khan, Ahmed Jawad, Abrar, Aareef
Daljnji autori:	Alam, Md. Ashraful
Format:	Disertacija
Jezik:	English
Izdano:	BRAC University 2018
Teme:	Autonomous Self-driving car NVIDIA model Max-pooling
Online pristup:	http://hdl.handle.net/10361/10123

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