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Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
Neural networks have shown tremendous growth in recent years to solve numerous problems. Various types of neural networks have been introduced to deal with different types of probl…
AdaInject: Injection Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks
Shiv Ram Dubey, S. H. Shabbeer Basha, Satish Kumar Singh +1
The convolutional neural networks (CNNs) are generally trained using stochastic gradient descent (SGD) based optimization techniques. The existing SGD optimizers generally suffer w…
A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images
Suranjan Goswami, Satish Kumar Singh, and Bidyut B. Chaudhuri
Thermal Images profile the passive radiation of objects and capture them in grayscale images. Such images have a very different distribution of data compared to optical colored ima…
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
S. K. Roy, M. E. Paoletti, J. M. Haut +4
Convolutional neural networks (CNNs) are trained using stochastic gradient descent (SGD)-based optimizers. Recently, the adaptive moment estimation (Adam) optimizer has become very…