Deep Learning with TensorFlow - Second Edition
by Giancarlo Zaccone, Vihan Jain, Md. Rezaul Karim, Motaz Saad
Deep learning frameworks
In this section, we present some of the most popular DL frameworks. In short, almost all of the libraries provide the possibility of using the graphics processor to speed up the learning process, are released under an open license, and are the result of university research groups.
TensorFlow is mathematical software, and an open source software library, written in Python and C++ for machine intelligence. The Google Brain Team developed it in 2011, and it can be used to help us analyze data, to predict an effective business outcome. Once you have constructed your neural network model, after the necessary feature engineering, you can simply perform the training interactively using plotting or TensorBoard.
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