Implementation of multiple deep learning models using Keras Functional API, including a CNN on MNIST, a multi-input/multi-output example, and a toy ResNet on CIFAR-10. Demonstrates advanced model architectures, tf.data pipelines, and practical training workflows with TensorFlow Datasets.
python api deep-learning interactive tensorflow numpy keras cnn resnet rmsprop relu explainability functional-api lowlevelapi functionalapi low-level-api-tensorflow custom-layar--model
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Updated
Aug 17, 2025 - Jupyter Notebook