How to use this repository: if you know exactly what you are looking for (e.g. you have the paper name) you can Control+F to search for it in this page (or search in the raw markdown). Many datasets ...

The covered deep learning models are: deep fully connected neural networks, ConvNet, RNN, graph convolutional neural network, ResNet, GAN, VAE. This example shows how to use the combination of CNN and ...

Training a deep learning model from scratch can require massive amounts of data and use large amounts of computational power. To save time and money, a foundational model can be trained for new tasks ...

Creating strong learning cultures in schools using documentation as a tool to deepen and extend learning. Making Learning Visible has a goal to create and sustain powerful cultures of learning in ...

Abstract: Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for enhancing coverage ... of the proposed approach compared with traditional deployment strategies ...

Enhanced Decision-Making Research-driven tools to guide model selection and development of frameworks for specific use cases, including fine-tuning and controlled hallucination.

Here are some practical ideas — for use in or out of school. By The Learning Network Times readers shared their fun, unique and eccentric holiday rituals — like singing to the turkey with a ...

This design idea merges the LM337 regulator into a simple (just two generic active chips) 8-bit PWM DAC to obtain a robust 1.5-A Continue Reading ...

In recent years, AI cannot be discussed without deep learning ... He began using Google image search to find candidate images and label them. A few months after the project began, Li said ...

In this project, we will build a remote-controlled Arduino Air-Boat that can be controlled wirelessly using the 433 MHz RF… ...