The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

1. MNIST – One of the popular deep learning datasets of handwritten digits which consists of sixty thousand training set examples, and ten thousand test set examples. The time spent in data pre ...

And that is why the company is using deep learning technology to help businesses ... Unlike many traditional optical character recognition (OCR) data extraction tools, however, Rossum is using ...

Researchers at Jinhua Advanced Research Institute and Harbin University of Science and Technology have recently developed a deep learning ... on the speech data in the DAIC-WOZ dataset," Tian ...

This paper presents a deep-learning method for segmenting the components of sunspots ... After training the network using the training set, the method is tested by the test set. The precision, recall, ...