Build generative models using Apache MXNet
A step-by-step tutorial to build generative models through generative adversarial networks (GANs) to generate a new image from existing images.
Insights, practical guidance, and announcements from O'Reilly
A step-by-step tutorial to build generative models through generative adversarial networks (GANs) to generate a new image from existing images.
A step-by-step tutorial on how to use TensorFlow to build a multi-layered convolutional network.
Alysa Hutnik discusses the Fair Credit Reporting Act, the Equal Credit Opportunity Act, the Gramm-Leach Bliley Act, and the FTC’s focus on FinTech.
How companies such as athenahealth can transform legacy data into insights.
Learn how to integrate voice with your product.
Gain agility by loading first and transforming later.
Deep learning’s effectiveness is often attributed to the ability of neural networks to learn rich representations of data.
A glimpse into what lies ahead for response automation, model compliance, and repeatable experiments.
Best practices for quick remediation and response
Learn about new architecture patterns, event-driven microservices, fast data, and more.
The O’Reilly Programming Podcast: Building reactive applications.
What a design request should look like when you're talking to an external entity.