How to Develop Machine Learning Models in TensorFlow

Predictive analytics and automation--through AI and machine learning--are increasingly being integrated into enterprise applications to support decision making and address critical issues such as security and business intelligence. Public cloud platforms like AWS offer dedicated services that allow companies to easily implement deep learning models, sometimes even without requiring specialized skills in data modeling or analytics. TensorFlow is an open-source, powerful framework for developing machine learning models.It is one of the most popular machine learning frameworks because it is flexible and it caters to different levels of data science knowledge. The Amazon Deep Learning AMI comes pre-configured with everything you need to start using TensorFlow from development to production. It allows teams to get started training quickly without worrying about dependencies or costly installations. Eager to try it out?