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Chapter1 TensorFlow Hello World Program | TensorFlow TUTORIALS | WITH CODE
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Here we will write our first simple yet effective program called 'Hello World' using TensorFlow backend and Jupyter notebook.
TensorFlow is a Python library for high-performance numerical calculations that allows users to create sophisticated deep learning and machine learning applications. Released as open source software in 2015, TensorFlow has seen tremendous growth and popularity in the data science community.
There are a number of methods that can be used to install TensorFlow, such as using pip to install the wheels available on PyPI. Installing TensorFlow using conda packages offers a number of benefits, including a complete package management system, wider platform support, a more streamlined GPU experience, and better CPU performance. These packages are available via the Anaconda Repository, and installing them is as easy as running “conda install tensorflow” or “conda install tensorflow-gpu” from a command line interface.
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I also do not wish to use the heart of any piece of the work that would perhaps decrease the market value of the original content, if anything I hope to promote the content so that people can reach out and subsequently increase the market value.
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TensorFlow is a Python library for high-performance numerical calculations that allows users to create sophisticated deep learning and machine learning applications. Released as open source software in 2015, TensorFlow has seen tremendous growth and popularity in the data science community.
There are a number of methods that can be used to install TensorFlow, such as using pip to install the wheels available on PyPI. Installing TensorFlow using conda packages offers a number of benefits, including a complete package management system, wider platform support, a more streamlined GPU experience, and better CPU performance. These packages are available via the Anaconda Repository, and installing them is as easy as running “conda install tensorflow” or “conda install tensorflow-gpu” from a command line interface.
################################################################
Copyright Information:
I also do not wish to use the heart of any piece of the work that would perhaps decrease the market value of the original content, if anything I hope to promote the content so that people can reach out and subsequently increase the market value.
*Please support the speakers/authors*
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