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Last updated: 16/09/2015

\n", " show/hide source code\n", " " ], "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%matplotlib inline\n", "import sys\n", "sys.path.insert(0,'..')\n", "from IPython.display import HTML\n", "from helpers import header\n", "\n", "HTML(header())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Aim of this course\n", "================" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "The objectives of the course is to give knowledge of image analysis techniques and machine learning methods." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "#### After attending the course a student should be able to:\n", "\n", "* understand different kind of images\n", "* analyse and decompose an image recognition problem into some basic steps\n", "* propose features to extract from the raw data for a given problem\n", "* implement an image processing chain using generic tools and specialized libraries\n", "* choose an adequate machine learning algorithm to solve pattern recognition tasks\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }