Video Credits: Siraj Raval via YouTube
Image Credits: Sharon Lopez via Bitlanders
(Edited via Canva)
TensorFlow is an open-source software library used primarily by programmers for machine learning applications. TensorFlow was developed by Google Brain for the internal use of Google and its team. On November 09, 2015, it was released under the Apache License 2.0.
Image Credits: WikimediaCommons
Hello everyone! Today, we are going to talk about TensorFlow. Some of you might encounter the term for the first time. So, what is TensorFlow and how we can use this in our current studies related to artificial intelligence and machine learning? Prepare to learn new knowledge that we can use in our future endeavors.
Are you ready?
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING:
Review of Some Basic Information
More and more contents discussing artificial intelligence and machine learning are being published by the different authors in Bitlanders. Likewise, there are many contents circulating the internet presenting this topic in various forms. In fact, my very first blog post published about AI was focused mainly on unveiling the meaning of artificial intelligence and machine learning. In case you missed it, you can find it HERE.
Machine learning, as presented on the said blog, is a sub-component of artificial intelligence that focuses on capacitating the software to learn by feeding more data the enable it to continuously improve its performance over time.
In order to start a project, we need a platform deep learning projects. that is where TensorFlow comes in. TensorFlow is owned by Google and it is open-source. Meaning anybody is allowed to use the platform. TensorFlow is written in Python, a general-purpose programming language created by Guido van Rossum.
Compared to other popular deep learning frameworks, TensorFlow provides excellent functionalities and services. These high-level operations are crucial for carrying out complex parallel computations and for building advanced neural network models.
SOME TERMS YOU NEED TO KNOW BEFORE YOU GET STARTED WITH TENSORFLOW
Image Credits: Hackernoon.com
Understandably, most of us are new to this machine learning stuff and it is imperative that we start out by learning a few terms as we will certainly encounter those terms when we started exploring this software library.
Keras
Keras is an open-source high-level neural network Application Programming Interface (API) written in Python. It is capable of running TensorFlow and designed to enable fast experimentation with deep neural networks.
SavedModel
SavedModel provides a language-neutral format to save machine-learned models that is recoverable and hermetic. It enables higher-level systems and tools to produce, consume and transform TensorFlow models. Source
TensorBoard
TensorBoard is a TensorFlow's visualization kit needed for machine learning experimentation.
Image Credits: TensorFlow.org
Keras-Tuner
Keras-Tuner is a dedicated library for hyper-parameter tuning of Keras models. As of this writing, the lib is in pre-alpha status but works fine on Colab with tf.keras and Tensorflow 2.0 beta.
WHAT ARE THE TOP 5 USE CASES OF TENSORFLOW
Image Credits: Screenshot of Querlo C-Blog for Introduction to TensorFlow
In this C-BLOG, I will be sharing the top 5 use cases of TensorFlow. We probably encounter such applications in our everyday life but we might not have an idea that it was created through TensorFlow. So, interacting with me in this C-Blog with definitely, give you more idea and increase your understanding of the term.
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Join me in this C-Blog and learn more about TensorFlow:
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Before we part ways today, don't forget to watch the video below to learn more about TensorFlow. It's a must-see video if you want to learn more about TensorFlow and/or machine learning. Enjoy watching!
Image Credits: Google Cloud Platform via YouTube
Thank you for watching the video and reading my post. I hope you learned timely and useful information from this blog post. Watch out for my next blog featuring companies using TensorFlow and how they use the software to further improve their products and services. You may leave a comment if you have further questions or clarifications. Have a great day!
You may also find the following interesting:
How to Get High Rating on Your Next AI-Themed Blog
Artificial Intelligence: The Future of Business
Artificial Intelligence: Everything About Google
Would you like to earn more from Bitlanders? Join Bitlanders AI-Themed blogging! Learn more about this from Micky-the-Slanted-Salerno's post:
Important Update: BitLanders AI-themed Blogging!
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DISCLAIMER: The views and opinions expressed in this c-blog post are that of the author and does not in any way represent the agency or department she currently belongs.
ADDITIONAL NOTE: The sites mentioned in this post are for information purposes only and links are provided for easy access. The author does not receive any remuneration from the said companies or sites.
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Written for Bitlanders
by ★Sharon Lopez
Date: August 07, 2019
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