We have been learning programming and AI since the beginning of this website. Now, we are excited to explore the world of generative AI art using the Stable Diffusion WebUI. This innovative web interface provides us with a simple and efficient way to generate AI art. In one of our previous posts, we experimented with […]
Easy Guide for Beginner: Learn how to use Stable Diffusion WebUI – Part 1 Read More »
We made our own Neural Machine Translator (NMT) in 2019, which helped us to translate Dutch to English. Now it is 2022, and many things have changed in the world of Data Science. The arrival of Bidirectional Encoder Representations from Transformers (BERT), a pre-trained transformer model, in 2019 brought a new page for Natural Language
The Lazy (and Easy) Pre-Trained Translator of the Year Read More »
I haven’t updated this blog for a few months. As there is something big happened in my hometown. But life must go on, so we come back here and learn a new topic — NMT (Neural Machine Translation). You may try the translate service before (if not, let’s Google Translate), it is the time we
NMT – make an easy Neural Machine Translator Read More »
From our Part 1 of NLP and Python topic, we talked about word pre-processing for a machine to handle words. This time, we are going to talk about building a model for a machine to classify words. We learned to use CNN to classify images in past. Then we use another neural network, Recurrent Neural
RNN (Recurrent Neural Network) in NLP and Python – Part 2 Read More »
We have handled text in machine learning using TFIDF. And we can use it to build word cloud for analytic purpose. But is it the capability of a machine can do on text? Definitely not, as we just haven’t let machine to “learn” about text yet. TFIDF is a statistics process, while we want a
Word Embedding in NLP and Python – Part 1 Read More »
