In this paper, we propose a Rotation-Invariant Coordinate Convolution (RIC-C), which achieves natural invariance to arbitrary rotations around the input center without additional trainable parameters ...
Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
Abstract: Land Use and Land Cover (LULC) maps serve as an important component for natural resource monitoring. They convey insights into the utilization patterns of the Earth’s land surface and the ...
Abstract: Understanding how neural networks learn remains one of the central challenges in machine learning research. From random at the start of training, the weights of a neural network evolve in ...
About An end-to-end deep learning project for handwritten digit recognition using Artificial Neural Networks (ANN) with TensorFlow and Keras. The project includes image preprocessing, ANN model ...
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