A.I, Data and Software Engineering

CategoryResearch

deep learning: Linear Autoencoder with Keras

autoencoder schema

This post introduces using linear autoencoder for dimensionality reduction using TensorFlow and Keras. What is a linear autoencoder An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction, by training the network...

Recurrent neural network – time-series data- part 1

RNN block

If you are human and curious about your future, then the recurrent neural network (RNN) is definitely a tool to consider. Part 1 will demonstrate some simple RNNs using TensorFlow 2.0 and Keras functional API. What is RNN An RNN is a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence (time series). This...

Dumping Emails using JavaMail and jsoup

email icon

This post demonstrates the ETL process by scraping emails as text files for later processing, such as NPL or other ML models. We use JavaMail API for getting emails and Jsoup to get texts from email body if it is in HTML format. FileUtils This helper class contains a helper method that saves a string to file. 1234567891011121314 public class FileUtils { public static void saveToFile(String file...

Quick Benchmark Colab CPU GPU TPU (XLA-CPU)

CPU TPU GPU

If you ever wonder about the performance differences between CPU, GPU, and TPU for your machine learning project, this article shows a simple benchmark for these three. Memory Subsystem Architecture Central Processing Unit (CPU), Graphics Processing Unit (GPU) and Tensor Processing Unit (TPU) are processors with a specialized purpose and architecture. CPU: A processor designed to solve every...

A really Cool data visualization: 3d globe in 2d space

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While generating data in 3d space for manifold learning, I went across a problem of distributing points evenly on a sphere. It is a non-trivial problem but found a good enough solution for such placement. Interestingly, it ends up with a really cool animation effect when I decided to implement it on a mobile app. Figure 1: First animation effect: Rotation The algorithm There are two qualitatively...

A.I, Data and Software Engineering

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