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ResQuNNs:Towards Enabling Deep Learning in Quantum Convolution Neural Networks
To resolve this, we propose a novel architecture, Residual Quanvolutional Neural Networks (ResQuNNs), leveraging the concept of residual learning, which facilitates the flow of gradients by adding skip connections between layers.
District Wise Price Forecasting of Wheat in Pakistan using Deep Learning
Such arrangements can be made more effective if a dynamic analysis is carried out to estimate the future yield based on certain current factors.
Urdu Handwritten Text Recognition Using ResNet18
Handwritten text recognition is an active research area in the field of deep learning and artificial intelligence to convert handwritten text into machine-understandable.
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