Convolutional neural networks for language tasks
Though they are typically applied to vision problems, convolution neural networks can be very effective for some language tasks.
Insights, practical guidance, and announcements from O'Reilly
Though they are typically applied to vision problems, convolution neural networks can be very effective for some language tasks.
Explore the factors that make up a reactive microservice.
How design thinking supports delivering product.
The sessions and training courses at Strata Data San Jose 2018 will focus on practical use cases of machine learning for data scientists, engineers, managers, and executives.
Top five characteristics to consider when deciding which library to use.
Understanding known vulnerabilities in open source packages.
From developers to CTOs, everyone has a role to play in shaping their own transformation.
The most important things you can do as a leader of your team.
How to build a multilayered LSTM network to infer stock market sentiment from social conversation using TensorFlow.
How to decouple your Java code using a mix of dependency injection, encapsulation, and services.
Discover what design patterns are and how they can be used to communicate solutions to common problems.
The O’Reilly Programming Podcast: A look at some of Python’s valuable, but often overlooked, features.