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kmkolasinski/deep-learning-notes

A collection of Jupyter Notebook experiments exploring capsule pooling, gradient normalization optimizers, and SELU regularization in Keras.

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This repository contains personal experiments with deep learning implementations, including capsule pooling for images, a custom gradient-normalizing optimizer, SELU activation regularization layers, and oversampling techniques with TensorFlow’s data API. It also includes company seminars on deep learning and machine learning topics for internal education.

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