Efficient Deep Learning: Unleashing the Power of Model Compression
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Tag: Deep Learning
Deep Learning and Scientific Computing with R torch: the book
Please allow us to introduce Deep Learning and Scientific Computing with R torch. Released in e-book format today, and available freely online, this b…
Upside down, a cat’s still a cat: Evolving image recognition with Geometric Deep Learning
In this first in a series of posts on group-equivariant convolutional neural networks (GCNNs), meet the main actors — groups — and concepts (equiv…
Learn Pytorch: Training your first deep learning models step by step
This blogpost is about starting learning pytorch with a hands on tutorial on image classification.
Accelerate ML Cycle with Deep Lake, the Data Lake for Deep Learning
One of three ML projects fails due to the lack of a solid data foundation. Projects suffer from low-quality data, under-utilized compute, & significan…
Deep Learning with R, 2nd Edition
Announcing the release of "Deep Learning with R, 2nd Edition," a book that shows you how to get started with deep learning in R.
An introduction to weather forecasting with deep learning
A few weeks ago, we showed how to forecast chaotic dynamical systems with deep learning, augmented by a custom constraint derived from domain-specific…
Deep attractors: Where deep learning meets chaos
In nonlinear dynamics, when the state space is thought to be multidimensional but all we have for data is just a univariate time series, one may attem…
Hacking deep learning: model inversion attack by example
Compared to other applications, deep learning models might not seem too likely as victims of privacy attacks. However, methods exist to determine whet…
Math, code, concepts: A third road to deep learning
Not everybody who wants to get into deep learning has a strong background in math or programming. This post elaborates on a concepts-driven, abstracti…
