A series of Jupyter notebooks exploring TensorFlow and Keras APIs for deep learning. Covers CNNs on CIFAR10/MNIST, subclassing models, transfer learning, data pipelines, augmentation, image loading, low-level APIs, and custom layers/functions. Demonstrates practical implementations with fine-tuning, preprocessing, and visualization techniques.
python deep-learning interactive tensorflow numpy keras cnn pandas classification matplotlib custom-callback lowlevelapi customcallbacks low-level-api-tensorflow
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Updated
Aug 17, 2025 - Jupyter Notebook