This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

Fig. 1: Modeling qubits in a realistic way involves large-scale atomistic models with possibly amorphous materials, disorder, ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

During the last decade, deep learning techniques, such as convolutional neural networks and long short-term memory ... for ...

Beyond big projects, doing smaller, focused exercises is super helpful. GeeksforGeeks has tons of these, covering everything ...