How easy-to-use and effective is TensorFlow as an interface?

Video summary.
[00:00:00]- [00:02:35]:



This video is about getting started with TensorFlow, a lower-level library for deep learning. It covers the two aspects of TensorFlow: as an interface and as an implementation.


Highlights:
[00:00:00] TensorFlow as an interface
A lower-level library that gives customized control
Has predefined implementations for common problems
Not a black box abstraction
[00:01:08] TensorFlow as an implementation
Supports multiple languages and environments
Makes things scalable and easy to deploy
Works on laptops, servers, clouds, and mobiles
[00:02:33]TensorFlow environment
To be discussed in the next video

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Playlist for TensorFlow Series 1 & 2:
1.   • Tensorflow Getting Started  
2.   • TensorFlow for Time Series Analysis (A Com...  

Prerequisites for this series:
1: Data Science & Machine Learning Using Python:    • Data Science Introduction  
2: Python for Data Science: Python for Data Science: 1. Quick Tour Colab
3: Machine learning with Python: What Is Python?




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What you get in this Playlist:
Good resources to learn TensorFlow, Tensorflow Training Data, Deep Learning Applications, Tensorflow tutorial, Deep Learning tutorials, TensorFlow tutorial for beginners, deep learning tutorials for beginners, Tensorflow Courses, How to Install Tensorflow, Deep Neural Network, Artificial Intelligence



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