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.
python deep-learning interactive tensorflow numpy matplotlib tfds lowlevelapi tfdsloader low-level-api-tensorflow pipeline--optimize
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Updated
Aug 17, 2025 - Jupyter Notebook