1 dépôt
Awesome GitHub RepositoriesNonlinear Transformations
Mathematical operations applied to tensors to introduce non-linear properties into a model.
Distinct from Tensor Transformations: Distinct from general Tensor Transformations by focusing on introducing non-linearity specifically for neural networks.
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Awesome Nonlinear Transformations GitHub Repositories
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- morvanzhou/pytorch-tutorial
MorvanZhou/PyTorch-Tutorial
8,458Voir sur GitHubThis project is a collection of PyTorch learning resources and educational guides designed to teach the construction and training of neural networks. It serves as a comprehensive deep learning tutorial covering various model architectures and practical implementation strategies. The resources provide specific guidance on implementing computer vision tasks, such as image classification and synthetic imagery generation, as well as reinforcement learning agents using value networks and experience replay. It also covers sequential data modeling through recurrent networks and generative modeling u
Demonstrates how to transform input tensors using mathematical operations to enable complex pattern learning.
Jupyter Notebookautoencoderbatchbatch-normalization
