Image Segmentation for DrivingEnroll In Nanodegree
This course is a part of the Self-Driving Car Engineer Nanodegree Program.
Udacity has partnered with the NVIDIA Deep Learning Institute to build an advanced course on deep learning. This module covers semantic segmentation, and inference optimization. Both of these topics are active areas of deep learning research. Semantic segmentation identifies free space on the road at pixel-level granularity, which improves decision-making ability. Inference optimizations accelerate the speed at which neural networks can run, which is crucial for computational-intense models like the semantic segmentation networks you’ll study in this module.
This course is part of a Nanodegree Program. It is a step towards a new career in Self-Driving Car Engineer.
Enhance your skill set and boost your hirability through innovative, independent learning.
Python, Convolutional Neural Networks
See the Technology Requirements for using Udacity.
By the end of this course, you will be able to build semantic segmentation networks to classify each pixel in an image.
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