Main Reference PaperResInNet: A Novel Deep Neural Network with Feature Re-use for Internet of Things, IEEE internet of things journal, 2018 [Python].
  • The proposed Reservoir In Network (ResInNet) enables the non-linear approximation and feature re-use based on the reservoir for the IoT. It performs the non-linear mapping operation than the linear mapping. It yields the compact and the discerning data.

Description
  • The proposed Reservoir In Network (ResInNet) enables the non-linear approximation and feature re-use based on the reservoir for the IoT. It performs the non-linear mapping operation than the linear mapping. It yields the compact and the discerning data.

  • To resolve the issues of traditional backpropagation

  • To yield superior performance.

Aim & Objectives
  • To resolve the issues of traditional backpropagation

  • To yield superior performance.

  • To contribute the system to handle the large-scale data

Contribution
  • To contribute the system to handle the large-scale data

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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