Deep Learning has suddenly gained a lot of popularity in the technological world and everyone wants to make it a part of his or her business propaganda. The three major Deep Learning Developments that shook the tech world are Cloud Computing, Interoperability and Multi-Deployment Options.
The cloud is emerging as a great resource: providing the latest hardware, multiple GPUs at one time and only paying for resources when they are needed. Training complicated networks take time but moving local resources to a cloud eases this pain.
Companies like Facebook, Microsoft, and MathWorks are pushing the trend of Interoperability forward, which is why it's a great time to check out a variety of deep learning frameworks. The trend of interoperability between deep learning frameworks allows users to switch in and out of deep learning frameworks at their convenience.
Multi-deployment can be defined as deploying a model to the right location depending on a specific need. This could be the web, your phone, embedded processors or GPUs.
2019 can expect much more in the field of Deep Learning and soon, business will be largely dependent on data analytics and deep learning for their better productivity.