Building Your First Computer Vision Model

  • BeginnerLevel

  • 4180+Students Enrolled

  • 34 MinsDuration

  • 4.7Average Rating

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About this Course

  • This course introduces the fundamentals of computer vision, guiding learners to build their first models using deep learning.
  • Explore how digital images are processed and classified using state-of-the-art machine learning techniques and frameworks.
  • Gain hands-on experience in building a simple vision model, working with image datasets, and understanding core concepts.

Learning Outcomes

Master Computer Vision

Explore key concepts and techniques of computer vision models.

Decode Image Processing

Understand how digital images are processed for deep learning.

Build a Vision Model

Train and test a computer vision model on real-world datasets.

Who Should Enroll

  • Aspiring data scientists and machine learning enthusiasts looking to build expertise in computer vision models.
  • Software developers and engineers interested in integrating computer vision techniques into real-world applications.
  • Students and researchers eager to understand image processing fundamentals and deep learning-based vision models.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. Pixel Perfect - Decoding Images

  2. 2. Understanding a CNN - Convolutional Layer

  3. 3. Hands on - Image Processing Techniques

  4. 4. Understanding a CNN - Striding and Pooling

  5. 5. Understanding a CNN - Pooling Layer

  6. 6. Understanding AlexNet and Building a CNN Model

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Apoorv Vishnoi

Training Vertical, Analytics Vidhya

Apoorv is a seasoned AI professional with over 14 years of experience. He has founded companies, worked at start-ups and mentored start-ups at incubation cells.

Get this Course Now

With this course you’ll get

  • 34 Mins

    Duration

  • Apoorv Vishnoi

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

You will learn the fundamentals of computer vision, convolutional neural networks (CNNs), and how to build deep learning models for image processing.

Basic knowledge of Python and machine learning concepts is recommended, but the course will cover essential deep learning techniques from scratch.

You will use Python, TensorFlow, and OpenCV for building and deploying computer vision models.

Yes, you will receive a certificate of completion from Analytics Vidhya after successfully finishing the course.

Once enrolled, you will have lifetime access to all course materials, including updates and additional resources.

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