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What is a feature column?
A feature column can be a plain mapping to some input column (e.g. column_numeric() for a column of numerical data), or a transformation of other feature columns (e.g. column_crossed() to define a new column as the cross of two other feature columns). ... Represents Multi-Hot Representation of Given Categorical Column.
What are feature columns in TensorFlow?
Feature columns are very rich, enabling you to transform a diverse range of raw data into formats that Estimators can use, allowing easy experimentation. ... That example created only numerical feature columns (of type TF.feature_column.numeric_column).
Is TensorFlow open source?
Created by the Google Brain team, TensorFlow is an open source library for numerical computation and large-scale machine learning. TensorFlow bundles together a slew of machine learning and deep learning (aka neural networking) models and algorithms and makes them useful by way of a common metaphor.
Is tensor flow open source?
Created by the Google Brain team, TensorFlow is an open source library for numerical computation and large-scale machine learning. TensorFlow bundles together a slew of machine learning and deep learning (aka neural networking) models and algorithms and makes them useful by way of a common metaphor.
Is tensor flow free?
TensorFlow is a machine learning framework that might be your new best friend if you have a lot of data and/or you're after the state-of-the-art in AI: deep learning. Neural networks. Big ones. ... TensorFlow is open source, you can download it for free and get started immediately.
Why is TensorFlow open source?
By open sourcing TensorFlow, Google gave this community access to a platform it backs to power their research. This makes migrating the world's algorithms from other deep learning tools onto TensorFlow theoretically possible. AI as a trend is clearly here to stay and Google wants a platform that leads this trend.
What is tensor flow used for?
TensorFlow is an open source Deep Learning library developed by Google that is used to perform complex numerical operations and several other tasks to model Deep Learning models. Its architecture allows easy deployment of computations across multiple platforms like CPU's, GPU's, etc.
Is TensorFlow free to use?
TensorFlow is a machine learning framework that might be your new best friend if you have a lot of data and/or you're after the state-of-the-art in AI: deep learning. Neural networks. Big ones. ... TensorFlow is open source, you can download it for free and get started immediately.
What is TensorFlow and how is it used?
TensorFlow is an open source Deep Learning library developed by Google that is used to perform complex numerical operations and several other tasks to model Deep Learning models. Its architecture allows easy deployment of computations across multiple platforms like CPU's, GPU's, etc.
What is TensorFlow good for?
It is an open source artificial intelligence library, using data flow graphs to build models. It allows developers to create large-scale neural networks with many layers. TensorFlow is mainly used for: Classification, Perception, Understanding, Discovering, Prediction and Creation.
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