Welcome to Falcons.ai's notebook demo on Multi-Class Computer Vision image classification! 🚀
In this video, we dive into the exciting world of image classification using powerful machine learning libraries like PyTorch. Whether you're a beginner or an experienced developer, this guide will help you prepare your image dataset, train your model, and achieve results in classifying images across multiple categories.
Overview
Our tutorial covers:
- Preparing a diverse image dataset tailored to your project needs.
- Training a robust image classification model using PyTorch.
- Testing your model for optimal performance.
- Adapting the code structure for a dynamic range of classes, from 2 to 20 or more.
Join us as we walk you through explanations and showing functional code examples, making it easier than ever to build and deploy your own image classification models.
Key Features
- Dynamic Class Handling Easily manage between 2 to 20+ classes.
- Flexibility Choose between TensorFlow and PyTorch based on your preference.
- Hands-On Follow along with Jupyter notebooks available on github for an interactive learning experience.
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Stay tuned, and let's embark on this machine learning journey together! 🌟
Github repo: github.com/Falcons-ai/multi-c...
7 июн 2024
