| { |
| "cells": [ |
| { |
| "cell_type": "code", |
| "execution_count": null, |
| "metadata": {}, |
| "outputs": [], |
| "source": [ |
| "import theano\n", |
| "from theano import tensor\n", |
| "# declare two symbolic floating-point scalars\n", |
| "a = tensor.dscalar()\n", |
| "b = tensor.dscalar()\n", |
| "# create a simple expression\n", |
| "c = a + b\n", |
| "# convert the expression into a callable object that takes (a,b)\n", |
| "# values as input and computes a value for c\n", |
| "f = theano.function([a,b], c)\n", |
| "# bind 1.5 to 'a', 2.5 to 'b', and evaluate 'c'\n", |
| "assert 4.0 == f(1.5, 2.5)" |
| ] |
| } |
| ], |
| "metadata": { |
| "kernelspec": { |
| "display_name": "Python 2", |
| "language": "python", |
| "name": "KERNEL_NAME" |
| }, |
| "language_info": { |
| "codemirror_mode": { |
| "name": "ipython", |
| "version": 2 |
| }, |
| "file_extension": ".py", |
| "mimetype": "text/x-python", |
| "name": "python", |
| "nbconvert_exporter": "python", |
| "pygments_lexer": "ipython2", |
| "version": "2.7.13" |
| } |
| }, |
| "nbformat": 4, |
| "nbformat_minor": 2 |
| } |
