Theano is a Python library that enables us to evaluate mathematical processes very efficiently, including multidimensional arrays. It is mostly used to make Deep Learning Projects. It runs faster on the Graphics Processing Unit (GPU) instead of the CPU. Theano reaches high speeds for problems with a high amount of data. In some cases, it can benefit from GPUs that allow it to perform better than C on the CPU with significant size sequences.
He knows how to get structures and convert them into a very efficient code that uses numpy and some local libraries. It is designed to process the types of calculations required for large neural network algorithms that are often used in Deep Learning. That's why deep learning is a very popular library.
Why Use Theano:
Theano is a mix of numpy and sympy and tries to combine the two in a strong library. Some of Theano's advantages are as follows:
- Stability Optimization: Theano may find some unstable statements and use more stable tools to evaluate them
- Speed Optimization: As mentioned earlier, it can use the latest GPUs and play parts of expressions in your CPU or GPU to make them much faster than Python
- Symbolic Differentiation: Theano is smart enough to automatically create symbolic graphics to calculate gradients
Click here to learn more