Handwriting digit recognition using TensorFlow and MNIST has become a pretty common introduction to artificial intelligence (AI) and machine learning (ML). "MINST" is the Modified National Institute of Standards and Technology database, which contains 70,000...
A text-to-speech (TTS) engine is the crucial element of systems looking to create a natural interaction between humans and machines based on embedded devices. An embedded device can, for example, help visually impaired people read signs, letters, and documents. More...
Machine learning (ML) with neural networks is enabling exciting new inference capabilities for software. Typically, ML models have run in the cloud, which meant that, to make a classification or prediction, you needed to send the text, sound, or images over the...
Machine Learning (ML) is quickly becoming a common feature in everyday computer interactions, and we often don’t even realize it. One example is ML-based image recognition for camera apps, such as the app introduced in the article “Face Detection on...
Introduction Machine learning is not at all a new concept, but its actual implementation is still far from reality for many businesses. Why? When they have big data problems, enterprises typically hire experts from different domains to help the data engineers in...
Introduction Neural Networks (NN) technology is one of the most used approaches in modern Artificial Intelligence (AI). It has been applied successfully to solving such problems as forecasting, adaptive control, recognition classification, and many others. An...
