Rajan Gaba

Title: Rajan Gaba: Inventor in Deep Learning

Introduction

Rajan Gaba is an inventor based in Gurugram, India. His work includes a patent related to deep learning models and artificial neural networks. He is associated with Accenture Global Solutions Limited.

Latest Patents

Gaba is named on 1 patent: “Provisioning Deep Learning (DL) Models That Preserve Relationships Between Response Variables and Selected Explanatory Variables.” The invention describes training a denoising stacked autoencoder using noisy and non-noisy data subsets, then incorporating at least part of its trained encoder into an artificial neural network with multiple hidden layers. The network is trained on a dataset and provided in a version suitable for inference.

Career Highlights

Gaba’s patent work focuses on methods for developing deep learning models while preserving relationships between response variables and selected explanatory variables. The disclosed approach connects denoising autoencoder training with the training and deployment of an artificial neural network.

Collaborations

Gaba’s listed coworkers include Georgios Passalis and Neha Chopra. The patent information provided identifies his association with Accenture Global Solutions Limited.

Conclusion

Rajan Gaba’s patent reflects work on combining denoising autoencoders and artificial neural networks to support deep learning models that preserve important variable relationships.