It's been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version. Tensorflow is Google's library for deep learning and artificial intelligence. Tensorflow is the world's most popular library for deep learning, and it's built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning. In other words, if you want to do deep learning, you gotta know Tensorflow.

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Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go - a game where intuition plays a key role. But the further AI advances, the more complex become the problems it needs to solve.

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WARNING: Do not confuse this article with "Mastering TensorFlow Tensors in 5 Easy Steps"! If you are reading this article, I am sure that we share similar interests and are/will be in similar industries. So let's connect via Linkedin! Please do not hesitate to send a contact request! In this tutorial, we will focus on TensorFlow Variables.

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The Joint Artificial Intelligence Center (JAIC) is the Department of Defense's lead organization for accelerating the adoption of artificial intelligence (AI) across the services. And it's a critical role, as top leaders believe AI will eventually impact every warfighting domain, even every mission, the DOD undertakes. With NPS faculty and students currently teaching and researching varied AI concepts and applications, and translating them into future naval capabilities, the university is deeply embedded in advancing the technology and the DOD's AI workforce. With this role in mind, NPS hosted two of the JAIC's most senior leaders, retired Air Force Lt. Gen. John N.T. "Jack" Shanahan, the inaugural and former Director, and Nand Mulchandani, the current Chief Technology Officer, to speak to students, faculty and staff about their experiences organizing efforts to develop artificial intelligence (AI) projects on a DOD scale during NPS' latest virtual Secretary of the Navy Guest Lecture (SGL), held Oct. 13. Shanahan and Mulchandani are the latest high-profile leaders to participate in the virtual SGL series, following the likes of retired Adm. Mike Mullen, Army Gen. Keith B. Alexander and retired Navy Vice Adm. Jan E. Tighe, and retired Adm. William McRaven.

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