Generative Data Intelligence

Tag: generative adversarial networks

A comprehensive guide to OCR with Tesseract, OpenCV and Python

Introduction OCR = Optical Character Recognition. In other words, OCR systems transform a two-dimensional image of text, that could contain machine printed or handwritten...

Generate fashion images using Generative Adversarial Networks

Look at a simple JSON representation of defining a GAN model, and implementing a DCGAN model to generate fashion images without writing a single line of code.

Visualizing an AI model’s blind spots

Anyone who has spent time on social media has probably noticed that GANs, or generative adversarial networks, have become remarkably...

What makes an image memorable? Ask a computer

From the "Mona Lisa" to the "Girl with a Pearl Earring," some images linger in the mind long after others...

Unsupervised learning: The curious pupil

Transfer learning From the perspective of general intelligence, the most interesting thing about AlexNet’s vocabulary is that it can be reused, or transferred, to...

Come together: using AI to enhance creativity

When the bombs fell down on Guernica in 1937, Picasso was in Paris. He was working on a mural for the Spanish pavilion...

Don’t batish your yisel: AI meets music, poetry, and adult entertainment

I’ve never had any desire to batish my yisel. I’ll go further: I can’t foresee a world in which I’d want to batish...

High-fidelity speech synthesis with WaveNet

During training, the student network starts off in a random state. It is fed random white noise as an input and is tasked...

Imagining a World without Language Barriers

An article by Brandon Deer, originally published at OpenView Labs – “A Conversation on the Future of AI with Unbabel’s Vasco Pedro“Vasco Pedro has always been...

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