Path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic.
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Updated
Aug 28, 2017 - C++
Path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic.
Path planner that creates smooth, safe trajectories for an autonomous vehicle to follow along a 3 lane highway with traffic. The path planner is able to keep inside its lane, avoid hitting other cars, and pass slower moving traffic all by using localization, sensor fusion, and map data.
C++ library for implementing deep feed-forward neural networks (DFF)
This repository guides you in building deep neural networks from scratch using Python and NumPy, covering key concepts like forward propagation and cost functions for binary classification.
With OCTAVE - For the exercises details, kindly read ex1.pdf in the repo.
A TensorFlow loss function based on a approximation of the normalized Wilcoxon-Mann-Whitney (WMW) statistic.
Machine learning regression analysis on salary data and cost function optimization with 3D visualization.
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