Subject archive for "deep-learning," page 3
Evaluating Generative Adversarial Networks (GANs)
This article provides concise insights into GANs to help data scientists and researchers assess whether to investigate GANs further. If you are interested in a tutorial as well as hands-on code examples within a Domino project, then consider attending the upcoming webinar, “Generative Adversarial Networks: A Distilled Tutorial”.
By Domino6 min read
Data Drift Detection for Image Classifiers
This article covers how to detect data drift for models that ingest image data as their input in order to prevent their silent degradation in production.
By Subir Mansukhani7 min read
Natural Language Processing in Python using spaCy: An Introduction
This article provides a brief introduction to natural language using spaCy and related libraries in Python.
By Paco Nathan15 min read
Deep Reinforcement Learning
This article provides an excerpt "Deep Reinforcement Learning" from the book, Deep Learning Illustrated by Krohn, Beyleveld, and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. It also covers using Keras to construct a deep Q-learning network that learns within a simulated video game environment. Many thanks to Addison-Wesley Professional for the permission to excerpt the chapter.
By John Joo58 min read
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