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TensorFlow 2
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TensorFlow is an open-source framework for machine learning (ML) and artificial intelligence (AI) that was developed by Google Brain. It was designed to facilitate the development of machine learning models, particularly deep learning models, by providing tools to easily build, train, and deploy them across different platforms.

TensorFlow supports a wide range of applications, from natural language processing (NLP) and computer vision (CV) to time series forecasting and reinforcement learning.

Neutral Network Training with TensorFlow
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TensorFlow is one of the
most popular deep learning libraries currently available, and it lets us implement
neural networks (NNs) much more efficiently than any of our previous NumPy
implementations.

Installing TensorFlow

.. console::

     $ pip install tensorflow==2.0.0
    
If your machine satisfies these requirements, you can install TensorFlow with GPU supports, as follow:

.. console::

     $ pip install tensorflow-gpu
    

Creating tensors in TensorFlow

.. code-block:: python

     >>> import tensorflow as tf


The mechanis of TensorFlow
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We will use different aspects of TensorFlow's API to implement NNs.

Classifying images
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Modeling Sequential data
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Generative adversarial networks
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Reinforcement learning for decision making
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