Categorydata science

Convolutional Neural Network with CIFAR and Tensorflow (example)

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Fig 1: A CNN sequence to classify handwritten digits (src: medium) In this article, we assume that you already understand the basic concepts of a convolutional neural network (CNN), e.g. one-hot coding, convolution, pooling, fully-connected layer, activation functions. If you are totally new to these terms, please find and read our other articles. The problem We will use Tensorflow to build a...

Make use of GG Colab and Jupyter notebook

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I decided to share this topic while doing research on Deep Learning on Graph, the latest trend in Deep learning. One of the challenges that I had was to the processing power of my laptop while processing hundreds of thousands of nodes. While buying a new laptop with a good GPU is not cheap, around $2k+ US, I decided to dive into the free platform provided by Google (GG). URL: What is great about...

Understand python arguments *args and **kwargs

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Most new Python programmers have a hard time figuring out the *args and **kwargs magic variables. So what are they? *args and **kwargs Firstly, it is not necessary to write *args or **kwargs. Only the * (asterisk) is necessary. You can use *var and **vars instead. Writing *args and **kwargs is just a convention. So now let’s take a look at *args first. Usage of *args *args and...

ETL (Extract, Transform, and Load) Process Quick note

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You could have been playing with this concept so many times without knowing the name of ETL. Let have a quick concept review using MovieLens automation as examples. Concept According to Wikipedia: Extract, Transform and Load (ETL) refers to a process in database usage and especially in data warehousing that: Extracts data from homogeneous or heterogeneous data sources Transforms the data for...

One-hot encoding quick note

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Quickly grasp the concept of one-hot encoding by simple data and coding. Categorical VS Numerical data Categorical data are variables that contain label values. For example, A “colour” variable can have values “red“, “green” and “blue“. Here, “red”, “green”, “blue” are labels represented by strings. Numerical data are...

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