Shypd.aiThe largest open index of AI toolsdeep-learning-notes is an open-source repository for deep learning experiments. It provides implementations for capsule pooling, experimental gradient descent optimizers, and SELU regularization.
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deep-learning-notes is an open-source GitHub repository dedicated to experiments and resources in deep learning. It features a variety of implementations, including an after-hours experiment on Capsule pooling for images, an experimental gradient descent optimizer that normalizes gradients by their norms, and a Keras Regularizer Layer for enforcing SELU-like regularization on model weights. The repository also includes examples for implementing oversampling with the tf.data.Dataset API and presentations on Deep Learning and Machine Learning. It serves as a valuable resource for developers and researchers looking to explore and test different deep learning techniques through hands-on experimentation.
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