Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: [email protected]
228 Park Avenue South New York, NY 10003 United States
Website: Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about
Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Founders: Roberto Iriondo, , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-François Bouchard, Job Title: Co-founder Works for: Towards AI, Inc. Cover:
Towards AI Cover
Logo:
Towards AI Logo
Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net
5 stars – based on 497 reviews

Frequently Used, Contextual References

TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e

Resources

Take our 85+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!

Publication

Classifying Rice With PyTorch: A Step-by-Step Guide
Artificial Intelligence   Latest   Machine Learning

Classifying Rice With PyTorch: A Step-by-Step Guide

Author(s): Souradip Pal

Originally published on Towards AI.

This member-only story is on us. Upgrade to access all of Medium.

In the fast-paced world of agriculture, being able to classify different rice varieties quickly and accurately can be a game-changer. But how can we harness machine learning for something as niche as rice classification? Well, this is where PyTorch, a powerful deep learning library, steps in. Today, I’ll guide you through creating a Convolutional Neural Network (CNN) using PyTorch to classify rice varieties based on images. This hands-on tutorial is designed for anyone with a basic understanding of Python, and I’ll walk you through each step of the code so you can follow along effortlessly.

Before diving in, make sure you have the necessary libraries installed. Run the following command to install any missing dependencies:

pip install torch torchvision pandas numpy seaborn matplotlib splitfolders tabulate termcolor scikit-learn

With these installed, you’re all set to start coding!

We’ll use a rice image dataset to train our model. You can find various datasets online, but a great choice for simplicity and consistency is to use Kaggle. If you have a Kaggle account, you can directly import datasets into your notebook without downloading them locally.

If you’re working in a Kaggle notebook, just make sure to upload… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.

Published via Towards AI

Feedback ↓