https://github.com/sergii-gavrylov/theano-tutorial-AACIMP2015

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.