The document is a tutorial introduction to Theano, an open source Python library that allows users to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It introduces key concepts in Theano including symbolic variables, functions, shared variables and updates, gradients, substitution, and random streams. It provides information on where to access more documentation on Theano and sets up the tutorial environment for participants to complete example tasks to learn how to use Theano.

1. Theano tutorial
part 1
AACIMP 2015
Sergii Gavrylov

2. Overview
● Introduction
● Symbolic variables
● Functions
● Shared variables / updates
● Gradients
● Substitution
● Random streams

3. What is Theano?
● Python library
● Computer algebra system
● Compiler

4. Where to find more info?
● Website: deeplearning.net/software/theano
● User mailing list: groups.google.com/group/theano-users
● Deep learning tutorials: deeplearning.net/tutorial

5. Tutorial environment
1. Go to XX.XX.XXX.XXX:XXXX to determine your workspace
id that you will use through this tutorial
2. Go to XX.XX.XXX.XXX:XXXX to use your workspace
3. password: xxxxxxxxx
https://github.com/sergii-gavrylov/theano-tutorial-AACIMP2015

6. Scalar math

7. Symbolic variables
X
+
Z
Y

8. Symbolic variables
X
+
Z
Y
compilation add_fun(_ , _)
37, 5
42

9. Task scalars

10. Data types

11. Data types

12. Vector math

13. Matrix math

14. Task vectors_matrices

15. Shared variables
X
+
Z
Y
42

16. Shared variables
X
+
Z
Y
42
compilation add_fun(_)
1
43

17. Shared variables

18. Updates

19. Task shared_updates

20. Symbolic differentiation

21. Task grad

23. Task logistic_regression

24. Substitution

25. Substitution

26. Task substitution

27. Random streams

28. Task random_stream

29. Conclusion
● Theano is a tool that combines the best of both worlds: it is easy
to code and fast to execute!
● It is used in both academia and industry.
● Symbolic paradigm is extremely flexible, but it might be not
suitable for everyone.
● Part 2 is coming.