Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is particularly useful for deep learning applications, where complex mathematical computations are required.
Features
- Symbolic Differentiation: Theano allows you to define mathematical expressions symbolically and automatically compute their gradients.
- Efficient Computation: Theano can perform computations on a wide range of hardware, including CPUs, GPUs, and TPUs.
- Easy Integration: Theano can be easily integrated with other Python libraries, such as NumPy and SciPy.
Getting Started
To install Theano, you can use pip:
pip install theano
Example
Here's a simple example to demonstrate how Theano works:
import theano
import theano.tensor as T
# Define a symbolic variable
x = T.dscalar('x')
# Define a mathematical expression
f = x ** 2
# Compile the expression
f_grad = theano.function([x], T.grad(f, x))
# Compute the gradient
grad = f_grad(5)
print('The gradient of f(x) = x^2 at x = 5 is', grad)
Resources
