A.I, Data and Software Engineering

Categoryback-end

back-end development

Convolutional Neural Network with CIFAR and Tensorflow (example)

petamind

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...

Petaminds – updates (Q3-2019)

petamind

As the number of readers increases, we think that it is time to improve Petaminds website to meet our objectives, i.e. content focused and readability. Currently, we are testing the new site design to meet the target. The theme will be comfortable and content-focused. Some improvements are:Use flat design theme Change the article clear typography Capital headings Increase the font sizes and...

Determine the sizes of python objects

petamind

When working with data structures, you may want to analyse the space complexity of a particular object. For example, you want to compare the size of a sparse matrix and a dense matrix which represent the same data. With python, “Just use sys.getsizeof” is not a complete answer. It does work for builtin objects directly, but it does not account for what those objects may...

A.I, Data and Software Engineering

PetaMinds focuses on developing the coolest topics in data science, A.I, and programming, and make them so digestible for everyone to learn and create amazing applications in a short time.

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