By integrating large-kernel convolutional blocks and a novel loss function, LKNet effectively addresses challenges such as ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

"Implementations of deep learning concepts from Deep Learning with Python (Second Edition) by François Chollet. Includes hands-on examples, code exercises, and practical applications using TensorFlow ...

This paper proposes a novel deep learning-based path loss prediction model using satellite images. In order to efficiently extract environment features from satellite images, residual structure, ...

Learn how to implement the RMSProp optimization algorithm step by step in Python. Perfect for deep learning beginners and enthusiasts! #Python #DeepLearning #RMSProp #MachineLearning Would you ...

Improved 3-D Joint Inversion of Gravity and Magnetic Data Based on Deep Learning With a Multitask Learning Strategy Published in: IEEE Transactions on Geoscience and Remote Sensing ( Volume: 63 ) ...