Deep Learning

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.

Deep learning architectures such as deep neural networks, deep belief networks and recurrent neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design and board game programs, where they have produced results comparable to and in some cases superior to human experts.

Deep learning models are vaguely inspired by information processing and communication patterns in biological nervous systems yet have various differences from the structural and functional properties of biological brains, which make them incompatible with neuroscience evidences.


QCon - TAC


Tackling Computing Challenges @CERN

The Large Hadron Collider (LHC) at CERN is the world's most powerful particle accelerator and is one of the largest and most complicated machines ever built. The LHC has been vital in helping physicists make new discoveries such as the Higgs boson in 2012. Today, the Worldwide LHC Computing...

Maria Girone CTO @CERNopenlab
Getting Started in Deep Learning with TensorFlow 2.0

The introduction of deep learning into the data science toolkit has allowed for significant improvements on many important problems in data science. Many advancements in fields such as natural language processing, computer vision and generative modeling can be attributed to advancements in deep...

Brad Miro Machine Learning Engineer @Google
From Research to Production With PyTorch

PyTorch is a powerful, flexible deep learning platform that enables engineers and researchers to move quickly from research to production. Since the 1.0 release a few months ago, researchers and engineers are already seeing success in taking advantage of the new capabilities to take deep learning...

Jeff Smith Engineering Manager @Facebook AI


Jeff Smith Engineering Manager @Facebook AI

From Research to Production With PyTorch

What is the focus of your work today?

I work on PyTorch, which is an open source deep Learning framework developed here at Facebook. I specifically work with the team on a lot of the ways in which we enable the success of a broad open source community that spans both bleeding edge researchers as well as ML product engineers putting deep learning technology to use in...

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