Resources and Code:
Find the full project code on my GitHub:
https://github.com/DataScientist00/Fruits-and-Vegetables-Image-Recognition-Project
Download the dataset here:
https://www.kaggle.com/datasets/kritikseth/fruit-and-vegetable-image-recognition/data
Description:
In this video, we build an end-to-end Image Classification Project using Deep Learning and Convolutional Neural Networks (CNNs). We cover:
✅ Multi-Class Classification techniques
✅ Model training with CNN architecture
✅ Implementing Early Stopping for better performance
✅ Dataset preprocessing & augmentation
✅ Evaluating model accuracy and loss
By the end of this tutorial, you'll have a solid understanding of how to train a deep learning model for image classification! 🚀
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