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intro.md
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@@ -7,17 +7,18 @@ name: pbdl-logo-large
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Welcome to the _Physics-based Deep Learning Book_ 👋
Welcome to the _Physics-based Deep Learning Book_ (v0.1) 👋
**TL;DR**:
This document targets a practical and comprehensive introduction of everything
This document contains a practical and comprehensive introduction of everything
related to deep learning in the context of physical simulations.
As much as possible, all topics come with hands-on code examples in the form of Jupyter notebooks to quickly get started.
As much as possible, all topics come with hands-on code examples in the
form of Jupyter notebooks to quickly get started.
Beyond standard _supervised_ learning from data, we'll look at _physical loss_ constraints,
more tightly coupled learning algorithms with _differentiable simulations_, as well as
reinforcement learning and uncertainty modeling.
We live in exciting times: these methods have a huge potential to fundamentally change what we can achieve
with simulations.
We live in exciting times: these methods have a huge potential to fundamentally
change what computer simulations can achieve.
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