From Deep Learning with PyTorch
by Eli Stevens and Luca Antiga
In this article, we explore some of PyTorch’s capabilities by playing generative adversarial networks.
From Data Science at Scale with Python and Dask by Jesse C. Daniel
This article discusses Dask, how it compares to Apache Spark, and how to create and understand directed acyclic graphs using the example of the delicious Italian pasta dish bucatini all’Amatriciana.
From Deep Learning with PyTorch by Eli Stevens and Luca Antiga
In this article, we explore some of PyTorch’s capabilities by playing with pre-trained networks.
From Practical Data Science with R, Second Edition
By Nina Zumel and John Mount
From Grokking Deep Learning in Motion
By Beau Carnes
From Reinforcement Learning in Motion
By Phil Tabor
From GANs in Action
By Jakub Langr and Vladimir Bok
From Deep Learning with PyTorch by Eli Stevens and Luca Antiga
This article introduces you to PyTorch and discusses why you might want to use it in your deep learning projects.
From Deep Learning with R in Motion
By Rick J. Scavetta
From Deep Learning with PyTorch
By Eli Stevens and Luca Antiga