An Autonomous method of finding objects

Unsupervised learning is the most exciting subfield of machine learning! Finding structure in unstructured data automatically sounds like a dream come true, no need to have a label! In this video, I'll demonstrate 2 types of unsupervised learning techniques;…

10 data articles handpicked by the Sicara team, just for you

Posted by Johan Schalkwyk, Google Fellow, Speech Team In 2012, speech recognition research showed significant accuracy improvements with deep learn...

Перевод Demystifying Convolutional Neural Networks. Свёрточные нейросети. В прошлом десятилетии мы наблюдали удивительный и беспрецедентный прогресс в сфере к...

The field of computer vision is shifting from statistical methods to deep learning neural network methods. There are still many challenging problems to solve in computer vision. Nevertheless, deep learning methods are achieving state-of-the-art results on…

The Massachusetts Institute of Technology (<a href="http://web.mit.edu/" target="_blank">MIT</a>) has always been known for its pioneering research, making a lasting difference to today’s technologically focused environment. And with machine learning development…

Tangible steps you can take to identify and fix issues with training, generalization, and optimization for machine learning models

Exploiting relational inductive bias to improve generalization and control

Andrew Ng is famous for his Stanford machine learning course provided on Coursera.

In 2017, he released a five-part course on deep learning also on Coursera noscriptd

📝 The paper "The Hanabi Challenge: A New Frontier for AI Research" and a blog post is available here:
https://arxiv.org/abs/1902.00506
http://www.marcgbellemare.info/blog/a-cooperative-benchmark-announcing-the-hanabi-learning-environment/

❤️ Pick up cool…

How to combine visualization and NLP in order to generate insights in an intuitive way

Posted by Chris Shallue, Senior Software Engineer and George Dahl, Senior Research Scientist, Google AI Over the past decade, neural networks have ...

The Learning Rate (LR) is one of the key parameters to tune. Using PyTorch, we’ll check how the common ones hold up against CLR!

This article contains some pretrained models to get started with natural language processing. This NLP pretrained model helps you to learn deep learning.