AI is very quickly expanding in the healthcare industry. Its primary role has been to automate processes to make it easier for employees to work on more complex people-related concerns. Yet as the technology develops, some reports have shown that AI is also being used as a diagnostic tool.
There is one striking element that does not seem to have been addressed as a common purpose between business teams and IT teams when confronting Innovation or Digital Transformation roadmaps… A Data Management Strategy.
Transfer learning consists in training a base network and reusing some or all of this knowledge in a related but different task.
Transfer Style allows to use the inner understanding of an already trained Convolutional Neural Network to transfer style from one picture to another.
Data augmentation is a basic technique to increase our dataset without new data. Although the technique can be applied in a variety of domains, it’s very commonly used in Computer Vision, and this will be the focus of the post.
Have you ever watched the cooking teaching shows? You have probably noticed that chefs have usually already all the ingredients separated and chopped. Likewise, a data scientist will be more useful and creative building models rather than spending time with data preprocessing…