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Explored memory properties in neural networks using an overparameterized sigmoid autoencoder, including the role of attractor dynamics in encoding and retrieval processes.

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OmarFaig/Practical_Course_Overparametrized_Sigmoid_Autoencoder

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Associative Memory in Iterated Overparameterized Sigmoid Autoencoders

In this repository you can find the source code and results of the "Practical Course Practical Course - Analysis of new phenomena in machine/deep learning" where I reproduced the results of "Associative Memory in Iterated Overparameterized Sigmoid Autoencoders(Yibo Jiang, Cengiz Pehlevan)" and did additional experiments.

link to the paper:Link

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Explored memory properties in neural networks using an overparameterized sigmoid autoencoder, including the role of attractor dynamics in encoding and retrieval processes.

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