Deep Learning - Computer Vision for Beginners Using PyTorch
Learn the basics of Computer Vision in PyTorch and Python with expert tips on convolutional neural network deep learning
Created by Manifold AI Learning
Get hands-on with deep learning and computer vision using PyTorch and Python. Explore convolutional neural networks and learn how to build and train models for image tasks. Along the way, strengthen your Python skills and discover how to use essential libraries for data handling and visualization.
Packt | Mar 2023 | 434 min
What You Will Learn
You will start by exploring the basics of PyTorch and gradually work up to building deep learning models for computer vision. Practical coding exercises and a mini Python project help reinforce your understanding. The course also covers key Python libraries so you can confidently handle data and visualize results.
Key Features
- Build and train convolutional neural networks for real image datasets
- Use PyTorch tools like AutoGrad to optimize and understand model training
- Strengthen Python skills and apply NumPy, Pandas, and Matplotlib for data tasks
Target Audience
This program is ideal for software developers, aspiring machine learning engineers, and data scientists who want to break into computer vision. If you are comfortable with basic programming concepts or looking to refresh your Python skills, you will find the material accessible and rewarding as you work toward building real-world models.
