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							|  |  |  | title: TensorFlow | 
					
						
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							|  |  |  | ## Tensor Flow
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							|  |  |  | <a href='https://www.tensorflow.org/' target='_blank' rel='nofollow'>TensorFlow</a> is an open source software library for Machine Intelligence. | 
					
						
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							|  |  |  | With the aim of conducting research in these fascinating areas, the Google team developed TensorFlow. | 
					
						
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							|  |  |  | ## How it is used for Data Science
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							|  |  |  | TensorFlow is an open source software library for numerical computation using data flow graphs.  | 
					
						
							|  |  |  | Nodes in the graph represent mathematical operations, while the graph edges represent the  | 
					
						
							|  |  |  | multidimensional data arrays (tensors) communicated between them. The flexible architecture  | 
					
						
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										 |  |  | allows you to deploy computations to one or more CPUs or GPUs in a desktop, server, or mobile  | 
					
						
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										 |  |  | device with a single API. TensorFlow was originally developed by researchers and engineers  | 
					
						
							|  |  |  | working on the Google Brain Team within Google's Machine Intelligence research organization  | 
					
						
							|  |  |  | for the purposes of conducting machine learning and deep neural networks research, but the  | 
					
						
							|  |  |  | system is general enough to be applicable in a wide variety of other domains as well. | 
					
						
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							|  |  |  | For more information, visit the <a href='https://github.com/tensorflow' target='_blank' rel='nofollow'>TensorFlow Github page</a> | 
					
						
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							|  |  |  | ## Lab
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							|  |  |  | <a href="https://github.com/Microsoft/computerscience/blob/master/Labs/AI%20and%20Machine%20Learning/TensorFlow/TensorFlow.md">TensorFlow</a> |