Deep Learning


Understanding the limits of deep learning

@machinelearnbot

Neural networks were invented in the '60s, but recent boosts in big data and computational power made them actually useful. A new discipline called "deep learning" has arisen that can apply complex neural network architectures to model patterns in data more accurately than ever before.


Medical Image Analysis with Deep Learning , Part 2

@machinelearnbot

Editor's note: This is a followup to the recently published part 1. You may want to check it out before moving forward.


Book: Java Deep Learning Essentials

@machinelearnbot

AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries – as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It's something that's moving beyond the realm of data science – if you're a Java developer, this book gives you a great opportunity to expand your skillset.


Caffe2 on iOS, Deep Learning Tutorial iOS Swift Tutorials by Jameson Quave

#artificialintelligence

At this years's F8 conference, Facebook's annual developer event, Facebook announced Caffe2 in collaboration with Nvidia. This framework gives developers yet another tool for building deep learning networks for machine learning. But I am super pumped about this one, because it is specifically designed to operate on mobile devices! So I couldn't resist but start digging in immediately.




The power of deep learning - SD Times

#artificialintelligence

Machine learning isn't the only term getting all the buzz. Deep learning, or a class of machine learning algorithms, is showing great promise, primarily because it's getting results.


Why neural networks and deep learning hold the secret to your health

#artificialintelligence

We're supposed to eat less, work out more and use less salt. These goals rarely materialize into a productive pattern.


The IoT Effect: Opportunities and Challenges - Smarter With Gartner

#artificialintelligence

For example, deep learning, a subset of AI and machine learning, requires massive amounts of data and computational power, but until recently, few viable use cases existed for deep learning, largely due to a lack of data. Today, we're beginning to see deep learning technology take hold, thanks to the massive amounts of data that IoT devices create. In the coming months, the relationship between IoT and AI will become even more symbiotic – and we'll likely see AI, including deep learning, play a critical role in the next big thing for IoT.


What makes Deep Learning deep....and world-changing?

#artificialintelligence

Remember how you started recognizing fruits, animals, cars and for that matter any other object by looking at them from our childhood?