Facebook(s fb) has published a research paper explaining a project called DeepFace that’s almost as good at putting names to faces as humans are. In fact, it might be better. The company claims its system, which is built using deep neural network, or deep learning, techniques, performed with 97.25 percent accuracy on a dataset commonly used to measure the effectiveness of facial recognition systems.
MIT Technology Review first reported on the DeepFace paper, which Facebook researchers are presenting at the IEEE Conference on Computer Vision and Pattern Recognition in June.
Deep learning is currently an area of investment for a number of web companies ranging from Pinterest to Netflix(s nflx), although Facebook and Google(s goog) have probably made the biggest news with their high-profile hires and acquisitions. It’s such a hot field because deep learning techniques are proving very effective at recognizing objects within images and analyzing…
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A peek at the early days of the Quantum AI Lab: a partnership between NASA, Google, and a 512-qubit D-Wave Two quantum computer.
Google (s goog) silently did something revolutionary on Thursday. It open sourced a tool called word2vec, prepackaged deep-learning software designed to understand the relationships between words with no human guidance. Just input a textual data set and let underlying predictive models get to work learning.
“This is a really, really, really big deal,” said Jeremy Howard, president and chief scientist of data-science competition platform Kaggle. “… It’s going to enable whole new classes of products that have never existed before.” Think of Siri on steroids, for starters, or perhaps emulators that could mimic your writing style down to the tone.
When deep learning works, it works great
To understand Howard’s excitement, let’s go back a few days. It was Monday and I was watching him give a presentation in Chicago about how deep learning was dominating the competition in Kaggle, the online platform where organization present vexing predictive problems…
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Sou Eric Couto, formado em Engenharia da Computação e criei este blog com o intuito de promover o compartilhamento de conhecimento, implementações, notícias e minhas experiências em Análise de Dados, IA, MOOC’s e demais assuntos correlatos.
Estreando o blog, gostaria de postar um demo interativo para que você possa testar alguns algoritmos de busca.
Em breve, falaremos detalhadamente de alguns desses algoritmos por aqui e faremos a implementação dos mesmos em Python! ^^