{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Deep learning workshop" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\"There's a lot more opportunity for ML than there is ML expertise in the world\" (\\*) - [Jeff Dean TF Summit 2018][jeff-quote]\n", "\n", "\n", " \n", "\n", "\n", "(\\*) In the context of automating model creation and replacing ML expertise with more computations!\n", "\n", "[jeff-quote]:https://youtu.be/kSa3UObNS6o?t=23m30s" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Goals for today**\n", "\n", "* Experiment with deep learning in a visual way\n", "* Learn more about basic building blocks\n", "* Understand steps to build a network in PyTorch" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**What we will build today**\n", "\n", "* Network that recognizes handwritten digits and drawings\n", "* Create a deep model for your own task (webcam/other set of images)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**High-level questions**\n", "\n", "Start with\n", "\n", "* How do neural networks learn - building blocks\n", "* How can they solve such complex tasks - main ideas\n", "* How to build and train one in PyTorch - technical aspects\n", "\n", "Later today\n", "\n", "* How can they work with images - convnets\n", "* Can we reuse what's been learned on other tasks - transfer learning\n", "* What can go wrong - overfitting, interpretability" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Workshop material**\n", "\n", "Interactive notebooks to experiment with the material / write notes" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }