Deep Java Library (DJL) is an open source, high-level, framework-agnostic Java API for deep learning. It is designed to be easy to get started with and simple to use for Java developers.

KEY TAKEAWAYS • Different types of AI models power rigorous applications, each tailored to specific tasks. Common types of AI models include machine learning, deep learning, natural language ...

Even in TensorFlow 1.12, the official Get Started with TensorFlow tutorial uses the high-level Keras API embedded in TensorFlow, tf.keras.By contrast, the TensorFlow Core API requires working with ...

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead ...

Deepfakes are simple to make. A simple overview of the artificial intelligence (AI) behind deepfakes: Generative Adversarial Networks (GANs), Encoder-decoder pairs and First-Order Motion Models.

The work marks a beginning in using machine learning techniques to optimize the architecture of chips. Written by Tiernan Ray, Senior Contributing Writer Feb. 28, 2021 at 2:05 p.m. PT ...