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Udacity

Computer Vision

Nvidia Deep Learning Institute and Affectiva via Udacity Nanodegree

Overview

Master the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models.

Syllabus

  • Welcome to the Nanodegree Program!
    • Welcome to Udacity! We're excited to share more about your Nanodegree program and start this journey with you!
  • Introduction to Computer Vision
    • Master computer vision and image processing essentials. Learn to extract important features from image
      data, and apply deep learning techniques to classification tasks
  • Optional: Cloud Computing
  • Advanced Computer Vision and Deep Learning
    • 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.
  • Object Tracking and Localization
    • Learn how to locate an object and track it over time. These techniques are used in a variety of moving systems, such as self-driving car navigation and drone flight.
  • Applications of Computer Vision & Deep Learning
    • Take a quick look at a few really cool applications of deep learning and computer vision, such as Neural Style Transfer, that using pre-trained models.
  • Review: Training A Neural Network
    • Review how neural networks turn an input into an output and how they monitor errors as they train. This section will also cover methods to avoid overfitting your data.
  • Skin Cancer Detection
    • Learn how to utilize neural networks to distinguish between images of benign and cancerous skin tissue.
  • Text Sentiment Analysis
    • Learn how to create a simple neural network for analyzing the sentiment (bad or good) in the text of movie reviews.
  • More Deep Learning Models
  • C++ Programming
  • Career Services

Taught by

Sebastian Thrun, Cezanne Camacho, Alexis Cook, Juan Delgado, Jay Alammar, Ortal Arel, Luis Serrano, Pranjal C., Arunava C., Christopher O., Ramy Raafat Mohamed Fawzy Ahmed W., Akira K. and Keelia T.

Reviews

5.0 rating, based on 6 Class Central reviews

4.7 rating at Udacity based on 477 ratings

Start your review of Computer Vision

  • Profile image for Raphael N Wanjiku
    Raphael N Wanjiku
    Taking this program is one of the best program paths I have taken so far.The mentors assistance is timely and the reviewers give valuable and actionable feedback.This is what I needed.
  • Anonymous
    VERY INFORMATIVE, I LEARNED AND GAINED THE SKILLS OF THE VARIOUS THINGS. THEY HAVE THE GOOD MATERIAL AND THE TRAINERS ARE ALSO HAVING VERY KNOWLEDGE ABOUT THE THINGS.
  • Anonymous
    It gives a very good insight into how neural networks work. It started from the very basis of image processing and built gradually on the knowledge. Suitable for beginners in image processing, but having previous knowledge on ML and python would definitely be helpful. I would recommand this course very much
  • Profile image for Mugunthan R
    Mugunthan R
    I am part of Computer Vision Nanodegree, the syllabus was well structured. Though I was little introduced to these topics, this shares a clear introduction and knowledge on each and every topic.
  • Anonymous

    Your review helps other learners like you discover great courses. Only review the course if you have taken or started taking this course.
  • Profile image for Amer Kamal
    Amer Kamal
    The Computer Vision programm is excelent! Explain what you need with a plus of materials of what you are curious to. Totally recommended.

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