PyTorch for Deep Learning and Computer Vision
Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch
Created by Amer Abdulkader, Rayan Slim, Jad Slim, Sarmad Tanveer
Explore the essentials of deep learning and computer vision using PyTorch. Gain practical experience by building real-world applications and models from the ground up. Develop skills that will help you tackle complex AI challenges and impress in any technical setting.
Packt | Apr 2019 | 752 min
What You Will Learn
You will start by learning the basics of PyTorch and gradually move on to building your own neural networks. Through hands-on projects, you will apply your knowledge to real computer vision problems and use pre-trained models to solve advanced tasks. Each step builds your confidence and technical ability.
Key Features
- Work confidently with tensors and build neural networks from scratch
- Apply PyTorch to create advanced computer vision and AI applications
- Leverage pre-trained models and style transfer for sophisticated solutions
Target Audience
Perfect for beginners interested in deep learning or computer vision, whether you are looking to switch careers, expand your technical skills, or start working with AI. No prior programming or math experience is required, making it accessible for anyone eager to learn and innovate in this exciting field.
