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Tag: theory

#000 Linear Algebra for Machine Learning

14.03.2020

Highlights: Linear algebra is a branch of mathematics related to linear equations, linear functions and their representations through matrices and vector spaces. Basically, it is the science of numbers which empowers diverse Data Science algorithms and applications. To fully comprehend machine learning, linear algebra fundamentals are the essential prerequisite. In this post, you will discover what exactly linear algebra is and what are the main applications in the machine learning. Tutorial Overview: You will learn:…
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#004 TF 2.0 TensorFlow Wrappers

25.12.2018

Highlights: In this post we are going to talk more about TensorFlow Wrappers. We are going to compare things before and after TensorFlow 2.0. This post will be the introductory one to the series of posts where we are going to build a wide variety of neural networks. To use TensorFlow in our projects, we need to learn how to program using the TensorFlow API. TensorFlow has multiple APIs that can be used to interact with…
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#003 TF 2.0 Eager Execution- A Pythonic way of using TensorFlow

24.12.2018

TensorFlow uses Eager execution, which is a more convenient way to execute the code, and also more “Pythonic”. It is a default choice in the latest version TensorFlow 2.0. In TensorFlow 1.x, we first need to write a Python program that constructs a graph for our computation, the program then invokes Session.run(), which hands the graph off for execution to the C++ runtime. This type of programming is called declarative programming (specification of the computation…
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#002 TF 2.0 An Introduction to TensorFlow 2.0

23.12.2018

Highlights: In this post we are going to talk more about what are TensorFlow data model elements. Those are elements like Constants and Variables. So let’s see how we can create an operation like \(c = a*b\) and run it with the following lines of code. TensorFlow data model elements There are certain programming elements in TensorFlow that are essential for writing any TensorFlow code like Constants and Variables. These data model elements are used…
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