Artificial Intelligence Future

Introducing TensorFlow Hub: Library for Reusable Machine Learning Modules at TensorFlow One of the most fundamental things in software development is the idea of ​​a store of shared code that is easy to ignore. As programmers, libraries instantly make us more effective. In a sense, they change the process of problem-solving programming. When using the library, we often think of programming in terms of building blocks - or modules - that can be glued together. How can a library be considered a machine education developer? Of course, in addition to the share to code, we also want to share pre-trend models. Sharing pre-trained models make it possible for developers to optimize for their domain, without access to computer resources or data used to train the model in the original hands. For example, the NASNet train took thousands of GPU-hours. By sharing the weights learned, a model developer can make it easier for others to reuse and build their work. It's a library idea for machine e