abhi8893/tensorflow-deep-learning-mrdbourke
Exploring mrdbourke's awesome 🔥 course on Deep Learning using Tensorflow. Beautiful Jupyter notebooks, a well structured installable Python package, issues tracking on a Kanban board, and a deployed Github Page website. Come dive in!
Implements a modular `src` package with specialized routines for image preprocessing, text tokenization, model evaluation, and TensorBoard visualization, enabling reusable components across regression, classification, and NLP tasks. Covers the full deep learning pipeline from fundamentals (tensor operations, GPU optimization) through advanced architectures (CNNs, transfer learning with EfficientNet/ResNet50, seq2seq models with attention), persisting trained models as TFSavedModel checkpoints with training history logs for reproducibility and TensorBoard analysis.
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Nov 03, 2021
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