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Book Overview & Buying
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Table Of Contents
Hands-On Artificial Intelligence for IoT - Second Edition
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In the previous chapter, we explored distributed learning using Keras 3, diving into how distributed training techniques can optimize machine learning models, especially when handling large-scale Internet of Things (IoT) data. By leveraging Keras 3’s capabilities for distributed learning, IoT applications can scale to process vast amounts of sensor data across multiple devices in parallel, enabling faster and more efficient training.
This chapter extends that discussion by shifting focus to AI cloud platforms for IoT, where we examine the tools and services provided by various cloud providers to analyze IoT-generated data. As IoT systems continue to expand, producing large streams of data in real time, cloud platforms play a pivotal role in ensuring that this data is captured, processed, and analyzed efficiently. From foundational services such as Infrastructure as a Service (IaaS), Software as Service (SaaS), and Platform as a Service (PaaS) to...