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Humans have a lot of senses, and yet our sensory experiences are typically dominated by vision. With that in mind, perhaps it is unsurprising that the vanguard of modern machine learning has been led by computer vision tasks. Likewise, when humans want to communicate or receive information, the most ubiquitous and natural avenue they use is language. Language can be conveyed by spoken and written words, gestures, or some combination of modalities, but for the purposes of this article we’ll focus on the written word (although many of the lessons here overlap with verbal speech as well).
A deep deep into what we learned while building an online translator for the small language of Tigrinya.
This abstractive text summarization is one of the most challenging tasks in natural language processing, involving understanding of long passages, information compression, and language generation.
Bokeh is an important artistic effect used to highlight the main object of interest on the photo by blurring all out-of-focus areas. While DSLR and system camera lenses can render this effect naturally, mobile cameras are unable to produce shallow depth-of-field photos due to a very small aperture diameter of their optics.
In this Python Tutorial we build a simple chatbot using PyTorch and Deep Learning. I will also provide an introduction to some basic Natural Language Processing (NLP) techniques.