Turning his attention to the extremely time-consuming task of machine learning data preparation, Dr. James McCaffrey of Microsoft Research explains how to examine data files and how to identify and ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

and multi-sensor data, deep learning-based methods have shown promising performance for various computer vision and machine learning tasks, e.g., the visual comprehension, video understanding ...

or adjust the learning rate based on progress from one pass through the data (called an epoch or a batch) to the next. Neural networks were inspired by the architecture of the biological visual ...

Children efficiently develop their visual systems through learning from their environment. How this development unfolds in noisy real-world data streams remains largely unknown. Deep neural networks ...

Training machine learning models for computer vision use ... across the globe are experiencing the explosion of data, and visual data is one of the most complex and challenging data types to ...

Using artificial intelligence and machine learning to improve the quality ... stunning visuals and breath-taking pictures. The visual data analytics group in BBC Research & Development is creating ...

SAS Visual Data Mining and Machine Learning (VDMML) is a visual and programming interface that makes end-to-end data mining possible for its users. SAS VDMML runs on SAS Viya, the AI, analytic ...