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Deep learning

Deep Learning is an artificial neural network composed of many layers.
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Practical AI Practical AI #15

Artificial intelligence at NVIDIA

NVIDIA Chief Scientist Bill Dally joins Daniel Whitenack and Chris Benson for an in-depth conversation about ‘everything AI’ at NVIDIA. As the leader of NVIDIA Research, Bill schools us on GPUs, and then goes on to address everything from AI-enabled robots and self-driving vehicles, to new AI research innovations in algorithm development and model architectures. This episode is so packed with information, you may want to listen to it multiple times.

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The Hitchiker's Guide to PyTorch

PyTorch is a flexible deep learning framework that allows automatic differentiation through dynamic neural networks (i.e., networks that utilise dynamic control flow like if statements and while loops). It supports GPU acceleration, distributed training, various optimisations, and plenty more neat features. These are some notes on how I think about using PyTorch, and don’t encompass all parts of the library or every best practice, but may be helpful to others.

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Turning Design Mockups Into Code With Deep Learning

How do you you teach a neural network to code? One screenshot with matching HTML at a time. 😂 Within three years deep learning will change front-end development. It will increase prototyping speed and lower the barrier for building software. The field took off last year when Tony Beltramelli introduced the pix2code paper and Airbnb launched sketch2code. Currently, the largest barrier to automating front-end development is computing power.

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