About this Course

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.

Skill Level
Advanced
Included in Course
  • Rich Learning Content

  • Interactive Quizzes

  • Taught by Industry Pros

  • Real World Projects

  • Student Support Community

  • Personalized Career Support

Join the Path to Greatness

This course is part of a Nanodegree Program. It is a step towards a new career in Self-Driving Car Engineer.

Nanodegree Course

Self-Driving Car Engineer - Advanced Deep Learning

by Nvidia

Enhance your skill set and boost your hirability through innovative, independent learning.

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What You Will Learn

Lesson 1

Fully Convolutional Networks

  • In this lesson you'll learn the motivation for Fully Convolutional Networks and how they are structured.
Lesson 1

Fully Convolutional Networks

  • In this lesson you'll learn the motivation for Fully Convolutional Networks and how they are structured.
Lesson 2

Scene Understanding

  • In this lesson you'll be introduced to the problem of Scene Understanding and the role FCNs play.
Lesson 2

Scene Understanding

  • In this lesson you'll be introduced to the problem of Scene Understanding and the role FCNs play.
Lesson 3

Inference Performance

  • In this lesson you'll become familiar with various optimizations in an effort to squeeze every last bit of performance at inference.
Lesson 3

Inference Performance

  • In this lesson you'll become familiar with various optimizations in an effort to squeeze every last bit of performance at inference.
Lesson 4

Semantic Segmentation Project

  • Build a semantic segmentation network to identify free space on the road.
Lesson 4

Semantic Segmentation Project

  • Build a semantic segmentation network to identify free space on the road.

Prerequisites and Requirements

Python, Convolutional Neural Networks

See the Technology Requirements for using Udacity.

Why Take This Course

By the end of this course, you will be able to build semantic segmentation networks to classify each pixel in an image.

What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals
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