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tfds

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This project focuses on classifying images from the CIFAR-10 dataset using deep learning models. A custom CNN is built with TensorFlow, and transfer learning is applied using ResNet18 with PyTorch for improved performance. Data preprocessing and augmentation techniques are used to enhance model generalization.

  • Updated Jan 12, 2025
  • Jupyter Notebook

Loading, inspecting, and preprocessing datasets using TensorFlow Datasets (TFDS). Demonstrates train/test split handling, image normalization, batching, shuffling, caching, and visualization to build efficient, ready-to-train deep learning pipelines.

  • Updated Aug 17, 2025
  • Jupyter Notebook

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