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Computer Vision Hands On With PyTorch

Drive innovation and unlock new opportunities through hands-on projects in Computer Vision

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7 Guided Projects

About this Learning Path

Dive into the world of computer vision as you take the journey of hands-on learning with PyTorch. Gain practical expertise through project-based modules that give you the skills to tackle real-world challenges and build an amazing portfolio. With PyTorch as your guiding light, you'll unleash the power of cutting-edge vision algorithms, honing your skills in object detection, image classification, and more. Elevate your professional trajectory, impressing employers and clients alike with your ability to deliver tangible results. Don't just learn computer vision – experience it firsthand and set yourself apart in the competitive field of technology.
Average Course Rating

4.6 out of 5

Skills You Will Learn

Python, Machine Learning, Artificial Intelligence, Deep Learning, DevOps, Computer Vision, Keras, U-squared Net, Serverless, PyTorch, Generative AI


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Featured Courses
  • Getting Started with Machine Learning with PyTorch
    Beginner Guided Project Artificial Intelligence

    Getting Started with Machine Learning with PyTorch

    PyTorch is a leading open source framework for AI research and commercial production in machine learning. It is used to build, train, and optimize deep learning neural networks for applications such as image recognition, natural language processing, and speech recognition.

    4.5
    (173 Reviews)
    971 Enrolled
    1 Hour
    Continue
  • Object detection with Faster R-CNN  and PyTorch
    Intermediate Guided Project Deep Learning

    Object detection with Faster R-CNN and PyTorch

    Faster R-CNN is a method for object detection that uses region proposal. In this project, you will use Faster R-CNN pre-trained on the COCO dataset. You will learn how to detect several objects by name and to use the likelihood of the object prediction being correct.

    4.7
    (99 Reviews)
    586 Enrolled
    1 Hour
    Continue
  • Cancer Image Detection With PyTorch (Part 3 iBest Workshop)
    Beginner Guided Project Artificial Intelligence

    Cancer Image Detection With PyTorch (Part 3 iBest Workshop)

    This project uses deep learning in PyTorch and computer vision techniques to develop an algorithm to identify metastatic cancer in small image patches obtained from larger digital pathology scans. The project's objectives are to set up the necessary environment, install and import required libraries, and perform data preparation for the model training. The project leverages pre-trained Convolutional Neural Networks (CNNs) and transfer learning to improve the model's performance.

    4.6
    (39 Reviews)
    365 Enrolled
    45 Min
    Continue
  • Human Portrait Drawing with U-Squared Net and PyTorch
    Advanced Guided Project Computer Vision

    Human Portrait Drawing with U-Squared Net and PyTorch

    Have you ever played with a portrait drawing app where you can get an AI-generated portrait of yourself in seconds by uploading your photo? This guided project will demystify such an app by showing you its underlying building block, which is the state-of-the-art U-squared Network (U2-Net). Get ready for mass-producing AI-generated human portraits!

    4.6
    (39 Reviews)
    319 Enrolled
    Continue
  • Creating anime characters using DCGANs and  PyTorch
    Intermediate Guided Project Artificial Intelligence

    Creating anime characters using DCGANs and PyTorch

    Mass production of millions of unique anime characters is nearly impossible for even the most skilled painter, but it becomes feasible with the use of machine learning methods. In this guided project, you will have the opportunity to build machine learning models and generate anime characters on your own. Furthermore, you will explore the Deep Convolutional Generative Adversarial Networks (DCGANs) method, which is specifically designed for large-scale anime production.

    4.7
    (32 Reviews)
    316 Enrolled
    2 Hours
    Continue

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