Question 1

Why should I enroll in this program?

Accepted Answer

The demand for engineers with computer vision and deep learning skills far exceeds the current supply. This program offers a unique opportunity to develop these in-demand skills and is for anyone seeking to launch or advance their skills in modern computer vision techniques. You’ll complete several computer vision applications using a combination of Python, computer vision, and deep learning libraries that will serve as portfolio pieces that demonstrate the skills you’ve acquired.

Question 2

What jobs will this program prepare me for?

Accepted Answer

This program is designed to build on your skills in machine learning and deep learning. As such, it doesn't prepare you for a specific job, but expands your skills in the computer vision domain. These skills can be applied to various applications such as image and video processing, automated vehicles, smartphone apps, and more.

Question 3

How do I know if this program is right for me?

Accepted Answer

If you’re new to Computer Vision, and eager to explore applications like facial recognition and object tracking, the Computer Vision Nanodegree program is an ideal choice. The curriculum introduces you to image analysis with Python and OpenCV, then goes on to cover deep learning techniques that can be applied to a variety of image classification and regression tasks. Over the course of the program, you’ll leverage your Python coding experience to build a broad portfolio of applications that showcase your newly-acquired Computer Vision skills.

Question 4

Do I need to apply? What are the admission criteria?

Accepted Answer

No. This Nanodegree program accepts all applicants regardless of experience and specific background.

Question 5

What are the prerequisites for enrollment?

Accepted Answer

You must have completed a course in Deep Learning equivalent to the Deep Learning Nanodegree program prior to entering the program. Additionally, you should have the following knowledge: Intermediate Python programming knowledge, including:Strings, numbers, and variablesStatements, operators, and expressionsLists, tuples, and dictionariesConditions, loopsGenerators & comprehensionsProcedures, objects, modules, and librariesTroubleshooting and debuggingResearch & documentationProblem solvingAlgorithms and data structuresBasic shell scripting:Run programs from a command lineDebug error messages and feedbackSet environment variablesEstablish remote connectionsBasic statistical knowledge, including:Populations, samplesMean, median, modeStandard errorVariation, standard deviationsNormal distributionIntermediate differential calculus and linear algebra, including:Derivatives & IntegralsSeries expansionsMatrix operations through eigenvectors and eigenvalues

Question 6

If I don’t meet the requirements to enroll, what should I do?

Accepted Answer

We have a number of courses and programs we can recommend that will help prepare you for the program, depending on the areas you need to address. For example:Intro to Machine LearningIntro to Data ScienceIntro to Programming Nanodegree programData Analyst Nanodegree programArtificial Intelligence Programming with Python Nanodegree programMachine Learning Engineer Nanodegree programDeep Learning Nanodegree program

Question 7

How is this Nanodegree program structured?

Accepted Answer

The Computer Vision Nanodegree program is comprised of content and curriculum to support three (3) projects. We estimate that students can complete the program in three (3) months working 10 hours per week.Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

Question 8

How long is this Nanodegree program?

Accepted Answer

Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

Question 9

Can I switch my start date? Can I get a refund?

Accepted Answer

Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.

Question 10

I have graduated from the Computer Vision Nanodegree program but I want to keep learning. Where should I go from here?

Accepted Answer

Many of our graduates continue on to our Artificial Intelligence Nanodegree program, Natural Language Processing Nanodegree Program, Robotics Engineer Nanodegree program, and our Self-Driving Car Engineer Nanodegree programs. Feel free to explore other Nanodegree program options as well.

Question 11

What software and versions will I need in this program?

Accepted Answer

You will need a computer running a 64-bit operating system (most modern Windows, OS X, and Linux versions will work) with at least 8GB of RAM, along with administrator account permissions sufficient to install programs including Anaconda with Python 3.5 and supporting packages. Your network should allow secure connections to remote hosts (like SSH). We will provide you with instructions to install the required software packages. Udacity does not provide any hardware.

Computer Vision Nanodegree Program

Course Report

Course Features

Course Description

Highlights

Parameters

Module 1: Introduction to Computer Vision

Module 2: Advanced Computer Vision and Deep Learning

Module 3: Object Tracking and Localization

Course FAQs