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A planned project for building a neural network to classify images from the CIFAR-10 dataset.

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Image Classifier (Planned)

Project Overview

This project involves creating a neural network to classify images in the CIFAR-10 dataset with high accuracy.

Features (Planned)

  • Data preprocessing and augmentation.
  • Training a convolutional neural network (CNN).
  • Model evaluation and fine-tuning.

Tech Stack

  • Programming Language: Python
  • Frameworks: PyTorch, TensorFlow

Goals

  • Develop hands-on expertise with PyTorch and TensorFlow.
  • Build a robust image classification model.

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A planned project for building a neural network to classify images from the CIFAR-10 dataset.

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