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.

Bibliografiska uppgifter
Huvudupphovsmän: Arefin, Kazi Ridwan, Huque, Md. Mashrukul, Tasin, Sheikh Sadaf, Khan, Ahmed Jawad, Abrar, Aareef
Övriga upphovsmän: Alam, Md. Ashraful
Materialtyp: Lärdomsprov
Språk:English
Publicerad: BRAC University 2018
Ämnen:
Autonomous
Self-driving car
NVIDIA model
Max-pooling
Länkar:http://hdl.handle.net/10361/10123

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