Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

This repository contains working examples of Neural Network Libraries. Before running any of the examples in this repository, you must install the Python package for Neural Network Libraries. The ...

In the rapidly evolving landscape of machine learning (ML) and artificial intelligence (AI), Python has emerged as a powerhouse, reigning supreme as one of the most favored programming languages. Its ...

I’m a software developer with 15 years of experience. For the past 12 years, I have been focusing in mobile development. I’m a software developer with 15 years of experience. For the past 12 years, I ...

The authors present "MotorNet", a useful software package to train artificial neural networks to control a biomechanical model of an effector. The manuscript provides solid evidence that MotorNet is ...

Abstract: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample ...

Abstract: The high energy costs of neural network training and inference led to the use of acceleration hardware such as GPUs and TPUs. While such devices enable us to train large-scale neural ...

In optimization theory, a loss or cost function measures the distance between the fitting or predicted values and real values. For the majority of machine learning models, improving performance means ...