In this article, I generated an image dataset with Matplotlib, submitted it to Kaggle and trained a vanilla CNN model on Google Colab. My individual Computer Vision trip bundles together data-generating, preprocessing, modeling and evaluation steps.

My own journey

I started my Computer Vision journey in a german Industrie, where one of my…

How to create a simple analog clock with Matplotlib package

In this article, I will show you the process to build and design your analog clock using python package matplotlib.

Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits…

In this story, we demonstrate how we draw donut plots from complex excel sheets with python tools.

As usual, our work starts with data, just like some people’s breakfast consists of donuts. There is no relationship between food and data, except that the donut chart has a doughnut-shaped figure.

Firstly, we have an excel file that records all sales information of an industry department from 2018 to…

In this story, we can experience how to make use of all the delivery vouchers to monitor the warehouse inventory.

In a supply chain, the warehousing function is very critical to link the material flows between the supplier and customer. Therewith, warehousing is actually part of a material management process concerned with the storage of materials to deliver on time. The warehouse can also be used to store the raw…

Using Talos to grid search Hyperparameter in CNNs, e.g. a dog-cat CNN classifier

With the development of Deep Learning frameworks, it’s more convenient and easy for many people to design the architecture for an artificial neural network. The 3 most popular frameworks, Tensorflow, Keras, and Pytorch, are used more frequently. To improve the performance of our neural networks, there are many approaches, e.g…

Yefeng Xia

🐳home-made Data-science student 👔👉🏼

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