This project leverages deep learning to identify crop diseases from images. Built with TensorFlow, the app allows users to upload crop images and predicts the disease. It features a user-friendly ...

config_frequentist.py: Hyperparameters for main_frequentist file. @article{shridhar2019comprehensive, title={A comprehensive guide to bayesian convolutional neural network with variational inference}, ...

Jonathan EnudemeJonathan Enudeme Imagine finding yourself lost in a foreign land where no one speaks English or your native language. The streets are unfamiliar, and every turn leads you deeper into ...

Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-power event-driven neuromorphic hardware due to their spatio-temporal information processing capability and high ...

The future of CNN looks grim as experts say the liberal network is 'in decline' after staffers faced pay cuts and a round of layoffs. Jeff McCall, a communications professor at Indiana's Depauw ...

While enterprise AI adoption obviously comes with challenges, NVIDIA is taking an end-to-end full stack approach to ...

To make a step forward in the understanding of the computational mechanism of human-like decision-making, this paper proposes a brain-inspired decision-making spiking neural network (BDM-SNN) and ...

Radomsky by Feb. 14 to find out. By The Learning Network A teacher whose students won last year’s competition shares the steps she followed. (Spoiler: It ends with the whole class doing the worm.) ...

For the first time, the team has provided compelling evidence that the brain’s characteristic rhythmic patterns play a crucial role in information processing. While these oscillatory dynamics ...