Innovative visualization techniques for deep learning models include activation maps, feature visualization, attention maps, network architecture diagrams, interactive visualizations, tensor ...

The below figure, Deep Learning Frameworks, summarizes most of the popular open source deep network repositories in GitHub. The ranking is based on the number of stars awarded by developers in GitHub.

With the use of proper neural network architecture (number of layers, number of neurons, non-linear function, etc.) along with large enough data, a deep learning network can learn any mapping from ...

This Deep fake Technology aims at generating synthetic video content or morphed video content which is very realistic to the naked eye. It involves the use of deep learning algorithms in the domain of ...

MicroCloud Hologram Inc. Develops a Noise-Resistant Deep Quantum Neural Network (DQNN) Architecture to Optimize Training Efficiency for Quantum Learning Tasks MicroCloud Hologram Inc. Tue, Jun 10 ...

There has been much written about the potential for FPGAs to take a leadership role in accelerating deep learning but in practice, the hurdles of getting from concept to high performance hardware ...