TeamGen Information

As we all know after the advent of social media there has been a torrent of data unleashed and companies that have been proactive in harnessing this data to make better business decisions have reaped the most benefits. Deep learning is not just a buzzword in the Artificial Intelligence community, in fact, it is reshaping global businesses through prolific use of self-teaching systems which can build models by directly studying images, text, audio or video data. Deep Learning has become necessary for successful pattern recognition and calibrating large unstructured data. Which is why our core team at TeamGen focuses primarily in processing large data sets and providing tools for analysis of unstructured data so your business can draw meaningful insights and make educated business decisions based on analytics of the customer behavior and industry. One of the areas we are focused on is CNN (Convolutional Neural Networks) which is a category of neural networks that have proven to effectively recognize images and classify them. ConvNets have been successful in identifying faces, objects, and traffic signs apart from powering vision in robots and self driving cars. One of the key initiatives handled by our team includes tagging and classifying facial images to extract meaningful data. With the proliferation of images being uploaded online there has been a gap in large image set analysis, this is where our experts come in. Through the use of our proprietary algorithm and architecture with CNN they help businesses gain insights into large unstructured data sets that can help drive key business KPIs. Sequence models have garnered a lot of attention because most of the data in the current world is in the form of sequences it can be a number sequence, word sequence, a video frame sequence or an audio sequence. All the data stored in the past has essentially been a data dump of unstructured sequential data without any ability to fetch information from such data formats. Luckily with the help of recurrent neural network, ...