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Getting Started with various Tools

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Tensorflow 2.0

Purpose: A free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. Tensorflow is a symbolic math library based on dataflow and differentiable programming.

Home Page: https://www.tensorflow.org/

Documentation: https://www.tensorflow.org/api_docs/python/tf

Related resources to learn: https://cloudxlab.com/course/all/?name=tensorflow&page=1

How to get started:

  1. In the Notebook tab on the right side of the screen, make sure to be using tensorflow2 Kernel. If not, you may change the kernel to tensorflow2 as follows:

    Click on Kernel -> Change Kernel -> tensorflow2 from the menu at the top

  2. Type the following command to import Tensorflow

    import tensorflow as tf
    
  3. Type the following for check Tensorflow version, it should show something like 2.xx.x

    tf.__version__
    

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