The most common language for developing deep learning models is **Python**. Due to Python's ease of development and flexibility, all industry standard deep learning libraries are written for Python.

An up and coming alternative to Python is **Julia**. While not in widespread usage in industry, it has received praise for it's multiple dispatch system, which allows for one to trivial compose, for example, a differential equation solver with a automatic differentiation library, allowing one to automatically differentiate differential equation solutions with no additional development time.
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