Luca Pietro Giovanni Antiga

Luca Antiga worked as a researcher in biomedical engineering in the 2000s, and spent the last decade as a cofounder and CTO of an AI engineering company. He has contributed to several open source projects, including the PyTorch core. He recently cofounded a US-based startup focused on infrastructure for data-defined software.

books by Luca Pietro Giovanni Antiga

Deep Learning with PyTorch
  • July 2020
  • ISBN 9781617295263
  • 520 pages
Included with a Manning Online subscription
  • printed in black & white
catalog / Data Science / Deep Learning
resources: Source code Errata Book Forum Source code on GitHub Slideshare: Put Deep Learning to good use! PyTorch Crash Course, Part 1 PyTorch Crash Course, Part 2 PyTorch Crash Course, Part 3 A Pre-Trained Model that Fakes It until It Makes It 🎙️ Eli Stevens, Luca Antiga, and Thomas Viehmann interviewed Register your pBook for a free eBook 🎙️ Converting Pure Deep Learning with PyTorch to Use Lightning and Hangar 🎙️ Luca, Eli & Thomas - Deep Learning With PyTorch

Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at ways to improve your results by training with augmented data, make improvements to the model architecture, and perform other fine tuning.