2 Repos
Awesome GitHub RepositoriesSpatial Pooling
Downsampling feature maps using max or average pooling to reduce spatial dimensions.
Distinct from Data Reducers: Focuses on spatial resolution reduction in CNNs rather than general data aggregation or functional reduction
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Awesome Spatial Pooling GitHub Repositories
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- morvanzhou/tensorflow-tutorial
MorvanZhou/Tensorflow-Tutorial
4,334Auf GitHub ansehenThis project is a collection of educational resources and reference implementations for neural network development using TensorFlow. It serves as a comprehensive learning course, machine learning curriculum, and practical implementation guide for building deep learning architectures. The codebase provides instructional materials and examples covering a wide range of model types, including convolutional neural networks for image classification, recurrent networks and long short-term memory cells for sequential data, and autoencoders for generative modeling. It also includes implementations for
Reduces the spatial dimensions of feature maps using max or average pooling to decrease computational complexity.
Pythonautoencoderclassificationcnn - kmkolasinski/deep-learning-notes
kmkolasinski/deep-learning-notes
1,348Auf GitHub ansehenThis repository is an educational collection of implementations and research notes focused on deep learning architectures and optimization techniques. It provides modular code examples designed to demonstrate foundational and advanced concepts in machine learning, ranging from basic neural network structures to complex training strategies. The project distinguishes itself by offering practical implementations of specialized research methods, including capsule-based feature aggregation, gradient direction decoupling, and self-normalizing weight regularization. These materials allow for the stu
Performs dynamic feature pooling to preserve spatial representation and translational invariance.
Jupyter Notebook
