Computer Vision Hands On With PyTorch
Drive innovation and unlock new opportunities through hands-on projects in Computer Vision
Continue reading7 Guided Projects
4.5 out of 5
Python, Machine Learning, Artificial Intelligence, Deep Learning, DevOps, Computer Vision, Keras, U-squared Net, Serverless, PyTorch, Generative AI
Featured Courses
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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.
4.51.8k+ Enrolled1 Hour -
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.
4.6957 Enrolled1 Hour -
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.
4.51.32k+ Enrolled45 Min -
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!
4.5428 Enrolled -
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.
4.6584 Enrolled2 Hours