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| Laurence Moroney | ||||
| O'Reilly Media | ||||
| 2020 | ||||
| English | ||||
| 390 pages | ||||
| 34.55 MB | ||||
[tab] [content title="Summary"] If you're aiming to transition from programmer to AI specialist, this is the perfect starting point. Drawing on Laurence Moroney's highly successful AI courses, this introductory book adopts a hands-on, code-first approach to help you build your confidence while exploring essential topics. You will learn to implement common machine learning scenarios, including computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded environments. Unlike many machine learning books that dive into complex math, this guide focuses on practical lessons that allow you to engage directly with the code. Here’s what you’ll discover: - How to create models using TensorFlow with skills in demand by employers - The fundamentals of machine learning through practical code samples - Techniques for implementing computer vision, including feature detection in images - Methods for using NLP to tokenize and sequence words and sentences - Approaches to embedding models in Android and iOS applications - How to deploy models on the web and in the cloud using TensorFlow Serving This resource is designed to make your journey into AI both accessible and engaging. [/content] [content title="Content"] [/content] [content title="Author(s)"] [/content] [/tab]
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