The opportunity at home – can AI drive innovation in personal assistant devices and sign language?
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The post The opportunity at home – can AI drive innovation in personal assistant devices and sign language? appeared first on The AI Blog.
With the rapid advance in NLP models we have outpaced out ability to measure just how good they are at human level language tasks. We need better NLP datasets now more than ever to both evaluate how good these models are and to be able to tweak them for out own business domains.
Table of Contents CycleGAN: Unpaired Image-to-Image Translation (Part 3) Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure Implementing CycleGAN Training Implementing Training Callback Implementing Data Pipeline and Model Training Perform Image-to-Image Translation Summary Citation Information CycleGAN:…
The post CycleGAN: Unpaired Image-to-Image Translation (Part 3) appeared first on PyImageSearch.
Machine learning advancements lead to new ways to train models, as well as deceive them. This article discusses ways to train and defend against attacks.
We will cover often-overlooked concepts vital to NLP, such as Byte Pair Encoding, and discuss how understanding them leads to better models.
This Humans of Machine Learning interview has us sitting down with Searchguy, aka Antonio Gulli, who’s been a pioneer in the world of data science for 20+ years now, to talk transformation, opportunity, and mentorship, among other topics.