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.

Dettagli Bibliografici
Autori principali: Arefin, Kazi Ridwan, Huque, Md. Mashrukul, Tasin, Sheikh Sadaf, Khan, Ahmed Jawad, Abrar, Aareef
Altri autori: Alam, Md. Ashraful
Natura: Tesi
Lingua:English
Pubblicazione: BRAC University 2018
Soggetti:
Autonomous
Self-driving car
NVIDIA model
Max-pooling
Accesso online:http://hdl.handle.net/10361/10123

Accesso online

http://hdl.handle.net/10361/10123

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