TensorFlow & Data Science
TensorFlow was developed by Google to give their machine learning developers the opportunity to design complex deep learning models according to their ideas.
It is suitable for both pure research and productive operation in companies.
TensorFlow can perform calculations on both the CPU and the GPU and can be used in single-node operation as well as on distributed systems. This makes it possible to map models of network architectures
CPU, GPU architecture
Models can be run on single-node CPU and/or GPU instances for maximum performance.
The framework has various deployment options, including a mobile engine and a server.
TensorFlow is primarily used via the Python interface, in which the models are specified and trained.
Open source license
The use of TensorFlow is completely free of charge as it is made available under an open source license.
TensorFlow for your Projects
TensorFlow enables you to use neural networks and deep learning for your projects.
TensorFlow has no graphical user interface and is therefore usually suitable. Only for experienced data and computer scientists. We support you in the use of TensorFlow in your data science and deep learning projects.