New book, “Deep Learning Design Patterns” presents deep learning models in a unique-but-familiar new way: as extendable design patterns you can easily plug-and-play into your software projects. Use code kdmath50 to save 50% off.
It’s no secret that deep learning is amazing. For the past eight years, the deep learning revolution has taken hold of computing and made technologies we thought might never be possible a daily reality.
But isn’t actualising deep learning beyond the capabilities of anyone without big company backing, a research team, or a statistics PhD? How can regular machine learning engineers and developers take those cutting edge algorithms from the R&D labs and put them into production?
Deep Learning Design Patterns is here to help. It presents deep learning models in a unique-but-familiar new way: as extendable design patterns you can easily plug-and-play into your software projects.
This accessible, jargon-lite book is written by Andrew Ferlitsch, an expert on computer vision and deep learning at Google Cloud AI Developer Relations. Andrew’s whole career is based around making deep learning accessible to everyday developers, and that’s just what his book does.
Using diagrams, code samples, and easy-to-understand language, Andre shares insights from Google’s state-of-the-art neural networks and AI research papers. You’ll quickly learn to incorporate the very latest models and techniques into your apps as idiomatic, composable, and reusable design patterns.
Deep Learning Design Patterns is published by Manning Publications—so you know its quality is assured. You can save 50% off Deep Learning Design Patterns, as well as all other Manning books and videos!
Just enter the code kdmath50 at checkout when you buy from manning.com.