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.

Before you can develop predictive models for image data, you must learn how to load and manipulate images and photographs. The most popular and de facto standard library in Python for loading and working with image data is Pillow. Pillow is an updated version…

MIT Introduction to Deep Learning 6.S191: Lecture 7
Data Visualization for Machine Learning
Lecturer: Fernanda Viegas
Google Brain Guest Lecture
January 2019


For all lectures, slides and lab materials: http://introtodeeplearning.com

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3eJW8yT

Andrew Ng is an Adjunct Professor, Computer Science at Stanford University.

Kian Katanforoosh is a Lecturer, Computer Science…