TensorFlow is an independent and open-source software library for dataflow and differential programming for a wide variety of tasks. It is a symbolic mathematics library and is also used for machine learning applications such as neural networks. It is used for both research and production on Google
How to install Tensor Flow?
TensorFlow is on the following 64-bit systems
Ubuntu:
Official Website for install Tensor Flow
https://www.tensorflow.org/install/pip
History:
TensorFlow is the second generation system of Google Brain. Version 1.0.0 was released on February 11, 2017. While the reference implementation runs on single devices, TensorFlow can run on multiple CPUs and GPUs (with optional CUDA and SYCL extensions for general purpose computing on graphics processing units). TensorFlow is available on 64-bit Linux, MacOS, Windows and Mobile. Computing platforms including Android and iOS.
Its flexible architecture allows easy deployment of computations on a wide variety of platforms (CPU, GPU, TPU), and from desktops to clusters of servers to mobile and edge devices.
The TensorFlow computation is expressed as a stateful dataflow graph. The name TensorFlow derives from operations that perform on neural networks multidimensional data arrays, called tensors. During a Google I / O conference in June 2016, Jeff Dean stated that 1,500 repositories on GitHub mentioned TensorFlow, only 5 of which were from Google.
In March 2018, Google announced TensorFlow.js version 1.0 for machine learning in JavaScript and TensorFlow graphics for in-depth learning in computer graphics.
In January 2019, Google announced TensorFlow 2.0. It officially became available in September 2019.
How to install Tensor Flow?
TensorFlow is on the following 64-bit systems
- Ubuntu
- Windows
- Mac
- etc
Install TensorFlow with Python's pip Package Manager
Install Tensor Flow with pip
Ubuntu:
sudo apt install python3-dev python3-pippip3 install -U pip virtualenv
Official Website for install Tensor Flow
https://www.tensorflow.org/install/pip
History:
TensorFlow is the second generation system of Google Brain. Version 1.0.0 was released on February 11, 2017. While the reference implementation runs on single devices, TensorFlow can run on multiple CPUs and GPUs (with optional CUDA and SYCL extensions for general purpose computing on graphics processing units). TensorFlow is available on 64-bit Linux, MacOS, Windows and Mobile. Computing platforms including Android and iOS.
Its flexible architecture allows easy deployment of computations on a wide variety of platforms (CPU, GPU, TPU), and from desktops to clusters of servers to mobile and edge devices.
The TensorFlow computation is expressed as a stateful dataflow graph. The name TensorFlow derives from operations that perform on neural networks multidimensional data arrays, called tensors. During a Google I / O conference in June 2016, Jeff Dean stated that 1,500 repositories on GitHub mentioned TensorFlow, only 5 of which were from Google.
In March 2018, Google announced TensorFlow.js version 1.0 for machine learning in JavaScript and TensorFlow graphics for in-depth learning in computer graphics.
In January 2019, Google announced TensorFlow 2.0. It officially became available in September 2019.
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