Scratching Data Science in Weekend
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Scratching Data Science in Weekend

Scratching Linear Algebra in Weekend
A Refresher Guide to Convolution Neural Networks
The following 2 books are included in this bundle...

About the Bundle

This bundle is design to invest your weekend in studying data science.

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About the Books

Scratching Linear Algebra in Weekend

Scratching Linear Algebra in Weekend

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  • PDF

Important Note: Please if you want to buy it, go to the bundle with the same price, and get the whole series.

In this part, you will learn the pre-requisites linear algebra that needed for both of machine learning and linear algebra, you will study both of vectors and matrices and the operations that can be use in both of vectors and matrices. For example, addition, summation, subtraction and multiplication, also we will study advanced operations. With the theories we will give you the implementation of all these operations from scratch, to enhance your skills in both of linear algebra and coding too.

You can check the first part A Refresher Guide to Convolution Neural Networks here

A Refresher Guide to Convolution Neural Networks

A Refresher Guide to Convolution Neural Networks

A Part of Weekend Series
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    Readers

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    Complete

  • PDF

  • EPUB

The goal of any Convolution Neural Network is to learn higher-order features from data representation, achieving that via convolutions. This type of Neural Nets is very good in dealing with tensor data such as images and is well suited to object recognition with consistently top image classification competitions. In this part, I will try to teach you the convolution neural network on weekend.

An online and free version of this part can be found here.

You can check the Scratching Linear Algebra in Weekend here.

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