diff --git a/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb b/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb index a225f50..80047d3 100644 --- a/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb +++ b/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb @@ -1,18 +1,16 @@ { "cells": [ { - "attachments": {}, "cell_type": "markdown", "metadata": { - "colab_type": "text", - "id": "view-in-github" + "id": "view-in-github", + "colab_type": "text" }, "source": [ "\"Open" ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": { "id": "1Z6LB4Ybn1oN" @@ -42,7 +40,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": { "id": "wQDy9UzXpnf5" @@ -102,8 +99,8 @@ "source": [ "# Define a shallow neural network with, one input, one output, and three hidden units\n", "def shallow_1_1_3(x, activation_fn, phi_0,phi_1,phi_2,phi_3, theta_10, theta_11, theta_20, theta_21, theta_30, theta_31):\n", - " # TODO Replace the lines below to compute the three initial lines\n", - " # (figure 3.3a-c) from the theta parameters. These are the preactivations\n", + " # TODO Replace the code below to compute the three initial lines\n", + " # from the theta parameters (i.e. implement equations at bottom of figure 3.3a-c). These are the preactivations\n", " pre_1 = np.zeros_like(x)\n", " pre_2 = np.zeros_like(x)\n", " pre_3 = np.zeros_like(x)\n", @@ -199,7 +196,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": { "id": "T34bszToImKQ" @@ -210,7 +206,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": { "id": "jhaBSS8oIWSX" @@ -269,7 +264,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": { "id": "osonHsEqVp2I" @@ -354,9 +348,8 @@ ], "metadata": { "colab": { - "authorship_tag": "ABX9TyPBNztJrxnUt1ELWfm1Awa3", - "include_colab_link": true, - "provenance": [] + "provenance": [], + "include_colab_link": true }, "kernelspec": { "display_name": "Python 3", @@ -368,4 +361,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} +} \ No newline at end of file