Road Ahead for TensorFlow

TensorFlow no doubt is better marketed in comparison to the other deep learning frames. The city seems to be moving extremely fast. In any given hour, there are approximately ten people round the world contributing or increasing the TensorFlow project on GitHub. TensorFlow dominates area with the greatest energetic community.

It will probably be interesting to see what new advancements tensorflow certification  and other utilities make feasible for the future of our digital world. Continuing the recent trend of fast updates, the TensorFlow team is making sure they deal with all the current and active problems faced by the contributors and the developers while building machine learning and deep learning models.

 

TensorFlow 2. 0 has to be major update, expect the release potential client over the next year early March. The preview version on this major milestone  is expected to hit later this year. The major focus will be on simplicity, additional support for additional tools and languages, and eager execution will be the core  feature of TensorFlow 2.0. This breakthrough version will add more functionalities and operations to handle current research areas such as reinforcement learning, GANs, building advanced neural network models more efficiently.

 

Google will continue to invest and up grade their existing TensorFlow ecosystem. According to Google’s CEO, Sundar Pichai “artificial intelligence is more important than electricity or fire. ” TensorFlow is the solution they may have come way up with to bring artificial intelligence into reality and provide a stepping natural stone to revolutionize mankind.

 

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