In this inside TensorFlow 2.0 tutorial, you'll see Software Engineer Eugene Zhulenev demonstrates graph rewriting for functions in TensorFlow 2.0
Take an inside look into the TensorFlow team’s own internal training sessions--technical deep dives into TensorFlow by the very people who are building it!
On this episode of Inside TensorFlow, Software Engineer Eugene Zhulenev demonstrates graph rewriting for functions in TensorFlow 2.0.
Let us know what you think about this presentation in the comments below!
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).
Python is an interpreted, high-level, powerful general-purpose programming language. You may ask, Python’s a snake right? and Why is this programming language named after it?
In this Machine Learning tutorial, we’ll build a video game with Unity, TensorFlow and Python. We’ll show you how easy it is to add ML-powered intelligence to video games or simulations, and how inference on smartphones is easier than it’s ever been: modern, powerful tools like Unity’s ML-Agents, Python, and TensorFlow make the complex easy. And it’s a lot of fun.
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