A novice painter might set brush to canvas aiming to create a stunning sunset landscape — craggy, snow-covered… Read Article
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How AI Is Changing Medical Imaging
From images of cats to handwritten numbers, neural networks have been used for years to process visual data. Deep learning models can identify features in images, enhance image quality, and… Read Article
What Is Transfer Learning?
Transfer learning is the deep learning technique that enables developers to harness a neural network used for one task and apply it to another domain…. Read Article
How to Get Started with Deep Learning Frameworks
Think of a deep learning framework as a grocery store. Rather than laboring in their own backyard farms, most people shop at markets when they want to whip up a… Read Article
What’s the Difference Between a CNN and an RNN?
The hit 1982 TV series Knight Rider, starring David Hasselhoff and a futuristic crime-fighting Pontiac Firebird, was prophetic. The self-driving, talking car also offers a Hollywood lesson in image and… Read Article
SuperVize Me: What’s the Difference Between Supervised, Unsupervised, Semi-Supervised and Reinforcement Learning?
There are a few different ways to build IKEA furniture. Each will, ideally, lead to a completed couch or chair. But depending on the details, one approach will make more… Read Article
PLASTER: 7 Key Ways to Measure Deep Learning Performance
SAT, ACT, MCAT, LSAT — there are many standardized ways to measure human aptitude in various fields. But when it comes to deep learning and artificial intelligence, how do we… Read Article
How Do I Understand Deep Learning Performance?
There’s a lot of confusion out there about deep learning performance. How do you measure it? What should you measure? The simple answer: PLASTER. The not so simple reality: “Hyperscale… Read Article
How (and Where) to Get a Quick Course in AI
Artificial intelligence is years, even decades, from replicating functions of the human mind, but it’s still getting serious work done today. And its influence will only expand. The irony of… Read Article