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.

Detalles Bibliográficos
Autores principales: Arefin, Kazi Ridwan, Huque, Md. Mashrukul, Tasin, Sheikh Sadaf, Khan, Ahmed Jawad, Abrar, Aareef
Otros Autores: Alam, Md. Ashraful
Formato: Tesis
Lenguaje:English
Publicado: BRAC University 2018
Materias:
Autonomous
Self-driving car
NVIDIA model
Max-pooling
Acceso en línea:http://hdl.handle.net/10361/10123

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