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[HTML][HTML] A state-of-the-art survey on deep learning theory and architectures
In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …
domains. This new field of machine learning has been growing rapidly and has been …
The history began from alexnet: A comprehensive survey on deep learning approaches
Deep learning has demonstrated tremendous success in variety of application domains in
the past few years. This new field of machine learning has been growing rapidly and applied …
the past few years. This new field of machine learning has been growing rapidly and applied …
Convolutional-neural-network-based handwritten character recognition: an approach with massive multisource data
Neural networks have made big strides in image classification. Convolutional neural
networks (CNN) work successfully to run neural networks on direct images. Handwritten …
networks (CNN) work successfully to run neural networks on direct images. Handwritten …
Bangla handwritten character recognition using convolutional neural network with data augmentation
This paper proposes a process of Handwritten Character Recognition to recognize and
convert images of individual Bangla handwritten characters into electronically editable …
convert images of individual Bangla handwritten characters into electronically editable …
Two decades of bengali handwritten digit recognition: A survey
Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …
Handwritten Bangla Character Recognition Using the State‐of‐the‐Art Deep Convolutional Neural Networks
In spite of advances in object recognition technology, handwritten Bangla character
recognition (HBCR) remains largely unsolved due to the presence of many ambiguous …
recognition (HBCR) remains largely unsolved due to the presence of many ambiguous …
CNN-based multilingual handwritten numeral recognition: A fusion-free approach
Numeral recognition plays a vital role in making automated systems like postal address
sorting and license plate recognition. In a multilingual country like India, more often, the …
sorting and license plate recognition. In a multilingual country like India, more often, the …
Kernelized support vector machine with deep learning: an efficient approach for extreme multiclass dataset
Classification with thousands of classes and a large number of features is often
computationally intractable. The presence of irrelevant features can decrease the …
computationally intractable. The presence of irrelevant features can decrease the …
HCR-Net: A deep learning based script independent handwritten character recognition network
Handwritten character recognition (HCR) remains a challenging pattern recognition problem
despite decades of research, and lacks research on script independent recognition …
despite decades of research, and lacks research on script independent recognition …
Handwritten Hindi digits recognition using convolutional neural network with RMSprop optimization
An efficient handwritten Hindi numeral digit recognition structure based on Convolutional
Neural Network (CNN) with RMSprop optimization technique is present in this paper …
Neural Network (CNN) with RMSprop optimization technique is present in this paper …