Computer Vision Nanodegree Program
Course Features
Duration
3 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Effort
15 hours per week
Teaching Type
Self Paced
Course Description
Careervira Take
Offered by Udacity, this program helps learners write programs to analyze images, implement feature extraction, and recognize objects using deep learning models. We recommend this course to all who have Intermediate to advanced Python experience. This Nanodegree program accepts all applicants regardless of experience and specific background. Industries, tech firms, start-ups and government agencies are areas where one can work as an artificial intelligence analyst.
Course Credibility
Pedagogy
Hands-on training
Career impact
Pricing
Assessment
Course Overview
Job Assistance
Personlized Teaching
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Intermediate to advanced Python experience You are familiar with object-oriented programming
You can write nested for loops and can read and understand code written by others
Intermediate statistics background
You are familiar with probability
Intermediate knowledge of machine learning techniques
You can describe backpropagation, and have seen a few examples of neural network architecture (like a CNN for image classification)
You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before
What You Will Learn
Master computer vision
image processing essentials
Learn to extract important features from image data
apply deep learning techniques to classification tasks
Learn to apply deep learning architectures to computer vision tasks
Discover how to combine CNN and RNN networks to build an automatic image captioning application
Learn how to locate an object and track it over time
Target Students
This Nanodegree program accepts all applicants regardless of experience and specific background
Course Instructors
Corporate Sponsors
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