Angular and Deep Learning Pocket Primer

Price: $39.95 – $31.44
(as of Dec 29,2024 06:06:23 UTC – Details)

Publisher ‏ : ‎ Mercury Learning and Information (November 16, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 342 pages
ISBN-10 ‏ : ‎ 1683924738
ISBN-13 ‏ : ‎ 978-1683924739
Item Weight ‏ : ‎ 1.1 pounds
Dimensions ‏ : ‎ 5.9 x 0.8 x 8.9 inches

Angular and Deep Learning Pocket Primer: Everything You Need to Know

Are you a developer looking to dive into the world of Angular and deep learning? Look no further than this pocket primer, designed to give you a quick overview of these two powerful technologies.

Angular is a popular open-source framework for building web applications, developed and maintained by Google. It allows developers to create single-page applications with ease, using TypeScript and HTML. With its modular architecture and robust features, Angular has become a go-to choice for many developers looking to build dynamic and responsive web applications.

Deep learning, on the other hand, is a subset of machine learning that focuses on teaching computers to learn from data. It involves the use of neural networks, which are designed to mimic the way the human brain processes information. Deep learning has revolutionized many industries, from healthcare to finance, by enabling machines to perform complex tasks such as image recognition and natural language processing.

In this pocket primer, you will learn the basics of Angular and deep learning, including:

– Key concepts and features of Angular, such as components, directives, and services
– How to set up an Angular project and build a simple web application
– An introduction to deep learning, including neural networks and training models
– How to implement a basic deep learning model using popular libraries like TensorFlow or PyTorch

Whether you are a seasoned developer looking to expand your skillset or a beginner eager to learn more about these technologies, this pocket primer is the perfect starting point. Stay tuned for more in-depth tutorials and guides on Angular and deep learning, and unlock the full potential of these powerful tools in your projects.
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