GitHub - madan-ram/Artificial-Neural-Network: Some of the most successful deep learning methods involve artificial neural networks. Artificial neural networks are inspired by the 1959 biological model proposed by Nobel laureates David H. Hubel & Torsten Wiesel, who found two types of cells in the primary visual cortex: simple cells and complex cells. Deep learning (deep structured learning or hierarchical learning) is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures. cs231n.github.io, theano tutorial and ufldl.stanford.edu has a reference.

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Some of the most successful deep learning methods involve artificial neural networks. Artificial neural networks are inspired by the 1959 biological model proposed by Nobel laureates David H. Hubel & Torsten Wiesel, who found two types of cells in the primary visual cortex: simple cells and complex cells. Deep learning (deep structured learning …

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Autoencoder		Autoencoder
MyNetworkFlow		MyNetworkFlow
conv_neural_net		conv_neural_net
stacked autoencoder		stacked autoencoder
vanila_neural_network		vanila_neural_network