Introduction To Practical Computer Vision Using Fastai

Online Course

Udemy
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Introduction To Practical Computer Vision Using Fastai
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Introduction To Practical Computer Vision Using Fastai
The course Introduction To Practical Computer Vision Using Fastai is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

The code First Approach To Deep Learning

Course description
  • Introduction To Practical Computer Vision Using Fastai
  • Introduction to Practical ways of practicing computer vision using Deep Learning.
  • Introduction to using Fastai to quickly create a deep learning system for computer vision.
  • Top down approach of learning Deep Learning.
  • Code first approach towards Deep Learning.
  • 1 year of coding experience.
  • Interest in learning new things.
  • some free time.
  • 1 hour on-demand video
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Satyabrata Pal
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Prerequisites & Facts

Introduction To Practical Computer Vision Using Fastai

Course Topic

Digital Marketing, Marketing, Marketing Automation

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Introduction To Practical Computer Vision Using Fastai

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
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Introduction To Practical Computer Vision Using Fastai
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School: Udemy
Topic: Deep Learning, IT & Software

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