By Joseph Lee Wei En A step-by-step guide to setting up Python for a complete beginner You can code your own Data Science or Deep Learning project in just a couple of lines of code these days. This is not an exaggeration; many programmers out there ...

Deep neural network (DNN) models such as BigGAN, BERT, and GPT 2.0 have demonstrated that larger DNN models produce better task…

Using a convolutional neural network to measure trannoscription factor-DNA binding

This post is the third post of the NLP Text classification series.

Computer vision is perhaps one area that has been most impacted by developments in deep learning.

It can be difficult to both develop and to demonstrate competence with deep learning for problems in the field of computer vision. It is not clear how to…

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…