If I ask you the question “do you like anime characters?”, then it’s very likely that most of you would answer “yes” and that some of you would even admit that anime has been part of their childhood. Although most people, regardless their age, enjoy watching them, only a few people can actually draw them from scratch and even less people have mastered this skill … Continue reading Generating new Anime faces with DCGAN
In this post, we are going to use Donut, an unsupervised anomaly detection algorithm based on Variational Autoencoder which can work when the data is unlabeled but can also take advantage of the occasional labels when available. In particular, we are going to focus on detecting anomalies on time series KPIs (key performance indicators) which are time-series data, measuring metrics such as the number of … Continue reading Donut: unsupervised anomaly detection using VAE
Imagine a scenario where a forger attempts to produce fake currencies and the policeman has to try to distinguish those fake currencies from the real ones. At the beginning, both don’t have much experience, the forger will just come with a piece of paper with a dollar bill scribbled on it. Obviously, is that is a fake currency, but the unexperienced policeman still will struggle … Continue reading GAN: Generative Adversarial Networks
In the last post we talked about Variational Auteoncoders (VAE), powerful generative machine learning model able to generate new data based on previously seen samples. In this post we are going to implement one and use it to generate handritten digits. Will you recognize which digits have been written by a human and which ones have been written by a machine? We are going to … Continue reading Generating handwritten digits with VAE and Zhusuan
Here are some digits, first of all, I ask you “Can you recognize them?” Maybe not all of them, some digits are actually blurred while others are quite ambiguous. Now let me show you another set of digits. It sounds like someone wrote many “6”s, all of the are very similar, but not the same. The second question I want to propose now is “Have … Continue reading VAE: Variational Autoencoder
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