Tensorflow is a deep learning library recently open- sourced by google. keras keras is a high- level api that' s easier for ml beginners, as well as researchers. the python api is at present the most complete and the easiest to use, but other language apis may be easier to integrate into projects and may offer some performance advantages in graph execution. essential documentation install tensorflow install the package or build from source. tfx provides software frameworks and tooling for full. or clone the repo and type this to generate a the documentation locally. but what’ s a tensor? gpu support for pdf cuda®enabled cards.
the tensorflow platform helps you implement tensorflow pdf documentation best practices for data automation, model tracking, performance monitoring, and model retraining. migrate to tensorflow 2 learn how to migrate your tf1. tensorflow basics. tensorflow provides primitives for defining functions on tensors and automatically computing their derivatives. api documentation bookmark_ border tensorflow has apis available in several languages both for constructing and executing a tensorflow graph. how can you download tensorflow api documentation essentially you can use io/, which can provide you with offline access to the documentation of many libraries and languages, including tensorflow. using production- level tools to automate and track model training over the lifetime of a product, service, or business process is critical to success.
it' s described in more detail in the tensorflow documentation. but what does it actually do?