Volpe

Deep Learning Crash Course, Volpe G., Midtvedt B., Pineda J., 2026.

   We believe that the best way to learn deep learning is by coding. For this reason, this book is organized around self-contained examples and projects that progress from simple to complex. As a result, you’ll receive all the benefits of sequential learning while also having the freedom to explore each topic independently.
As you embark on this journey, it’s important to recognize that deep learning frameworks continuously evolve, but their core principles remain consistent. This book primarily uses PyTorch, currently the most popular deep learning framework, along with Lightning and Deeplay for added convenience. However, the fundamental concepts, techniques, and insights you will gain are transferable across various frameworks. In an ever-evolving landscape, they will empower you to choose the best tools for your projects as well as transition between them, easing your learning curve when the next deep learning framework emerges.

Analyzing english grammar, Klammer T., Schulz M., Volpe A., 2013.

One of the chief goals of chapter one is to explore with students the various meanings of grammar and grammatical rule. Many students begin the class with the notion that grammatical rules are solely concerned with matters of correctness and incorrectness and that these prescriptive rules must be memorized. One way of pointing out to students the limits of memorization is to contrast the rules of English described by formal linguists, those known to applied linguists, those known to the best teachers, and those taught to students. Using an overhead projector, we like to talk about the following diagram adapted from Steven Krashen, Principles and Practice in Second Language Acquisition (Oxford: Pergamon Press, 1982), pp. 92-93.