Deep Learning Computer Vision

OVERVIEW

This Course is Designed for Students and Professionals who wants to focus on learning the Neural Networks and develop next gen of Software using Neural Networks.
Deep Learning is a subfield of Machine Learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. This technique that teaches computers to learn by example. It is one of the hottest and fastest growing sub domains under Machine Learning and a widely used technique in a variety of applications.

SYLLABUS

Computer Vision Techniques
Architectures
Training
Testing
Project

OBJECTIVE

Understand Computer vision Techniques,
Understand Relational and Non-Linear
Understand and Work with CNN and Transfer Learning

OUTCOME

Deep learning Concepts and Techniques.
Solve and Develop Computer Vision Techniques.
Build And train neural architectures.

Certification

$10 B

Industry according to latest data

10000

jobs posted In Past Years

10 X

increase in career opportunities

$70000

Average salary

PROGRAM INCLUDES

Practical curriculum aligned to the job market and industry certifications.
Hands-on labs and projects graded by instructors.
Downloadable resources.
Access to relevant software tools.
Career navigation and coaching.
2-in-1 certificate from a university and a technology company.

COURSE DURATION : 200 Hrs

COURSE SCHEDULE

10 hrs per week, 8 weeks.
40 hrs final project.
160 hrs (vILTs – 80 Hrs, Self-paced learning – 80 hrs) – learning materials in the form of PDFs, videos etc, Recorded sessions.

TOOLS COVERED