{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "\"Open" ] }, { "cell_type": "markdown", "metadata": { "id": "r-xn3WLqP2wM" }, "source": [ "# Video 12.1: Feedforward networks" ] }, { "cell_type": "markdown", "metadata": { "id": "T9ckFFHNP2wQ" }, "source": [ "## Video" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "id": "fTCqwicVP2wQ", "cellView": "form", "colab": { "base_uri": "https://localhost:8080/", "height": 449 }, "outputId": "f8fd6416-fd34-485b-8604-b937b0761b71", "tags": [ "remove-input" ] }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Video available at https://youtube.com/watch?v=5ndbtJVxx4Q\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "" ], "text/html": [ "\n", " \n", " " ], "image/jpeg": "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\n" }, "metadata": {}, "execution_count": 1 } ], "source": [ "# @markdown\n", "from IPython.display import YouTubeVideo\n", "from ipywidgets import widgets\n", "out = widgets.Output()\n", "with out:\n", " display(YouTubeVideo(id=f\"5ndbtJVxx4Q\", width=730, height=410, fs=1))\n", "display(out)" ] }, { "cell_type": "markdown", "metadata": { "id": "XMhhhdFCP2wS" }, "source": [ "## Notes\n", "\n", "\n", " Click here to download notes\n", "\n", "\n" ] }, { "cell_type": "markdown", "source": [ "\"notes" ], "metadata": { "id": "ZLDbFTdEcINM" } } ], "metadata": { "kernelspec": { "display_name": "Python 3.8.13 ('mathtools')", "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": "3.8.13" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "2f26a17d6a9624f855b5f9e02ffdc0ae71c8577a2562f495dada4b6f29d8bdd3" } }, "colab": { "provenance": [], "include_colab_link": true } }, "nbformat": 4, "nbformat_minor": 0 }