Tensorflow Tutorial for Beginners
April 16, 2018 By Shailna Patidar
ABSTRACT:
TensorFlow Tutorial – History
Before the updation, TensorFlow is known as Distbelief. It built in 2011 as a proprietary system based on deep learning neural networks. The source code of distbelief was modified and made into a much better application based library and soon in 2015 came to be known as TensorFlow.
What is Tensorflow?
TensorFlow is a powerful data flow oriented machine learning library created the Brain Team of Google and made open source in 2015. It is designed to be easy to use and widely applicable to both numeric and neural network oriented problems as well as other domains.
Basically, TensoFlow is a low-level toolkit for doing complicated math and it targets researchers who know what they’re doing to build experimental learning architectures, to play around with them and to turn them into running software.
Generally, it can think of as a programming system in which you represent computations as graphs. Nodes in the graph represent math operations, and the edges represent multidimensional data arrays (tensors) communicated between them.
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