44 citations · 112 across the 6 of their papers we have counts for
6 papers
Facial Information Recovery from Heavily Damaged Images using Generative Adversarial Network- PART 1
Pushparaja Murugan
Over the past decades, a large number of techniques have emerged in modern imaging systems to capture the exact information of the original scene regardless of shake, motion, light…
Learning The Sequential Temporal Information with Recurrent Neural Networks
Pushparaja Murugan
Recurrent Networks are one of the most powerful and promising artificial neural network algorithms to processing the sequential data such as natural languages, sound, time series d…
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification
Pushparaja Murugan
Convolutional Neural Networks has been implemented in many complex machine learning takes such as image classification, object identification, autonomous vehicle and robotic vision…
Hyperparameters Optimization in Deep Convolutional Neural Network / Bayesian Approach with Gaussian Process Prior
Pushparaja Murugan
Convolutional Neural Network is known as ConvNet have been extensively used in many complex machine learning tasks. However, hyperparameters optimization is one of a crucial step i…
Regularization and Optimization strategies in Deep Convolutional Neural Network
Pushparaja Murugan, Shanmugasundaram Durairaj
Convolution Neural Networks, known as ConvNets exceptionally perform well in many complex machine learning tasks. The architecture of ConvNets demands the huge and rich amount of d…
Feed Forward and Backward Run in Deep Convolution Neural Network
Pushparaja Murugan
Convolution Neural Networks (CNN), known as ConvNets are widely used in many visual imagery application, object classification, speech recognition. After the implementation and dem…