Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

In a world of high fantasy adventure, every crumbling ziggurat, abandoned mine, or unassuming hole in the ground is a potential dungeon. Dungeons Deep delivers 16 drop-in dungeons designed to fit ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...

OpenAI is testing a long-anticipated feature for its ChatGPT Deep Research tool: the ability to download reports as PDFs. While it may seem like a small update, it could be a game-changer for users ...

TensorFlow is one of the best software libraries suited for AI and machine learning. It was developed by the Google Brain Team by partnering with Google’s machine intelligence research organization.

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...