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Created using Colab

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udlbook
2024-09-16 09:19:49 -04:00
parent f887835646
commit e1df2156a3
1 changed files with 9 additions and 18 deletions
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27
Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb
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@@ -1,18 +1,16 @@
{ {
"cells": [ "cells": [
{ {
"attachments": {},
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"colab_type": "text", "id": "view-in-github",
"id": "view-in-github" "colab_type": "text"
}, },
"source": [ "source": [
"<a href=\"https://colab.research.google.com/github/udlbook/udlbook/blob/main/Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" "<a href=\"https://colab.research.google.com/github/udlbook/udlbook/blob/main/Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
] ]
}, },
{ {
"attachments": {},
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"id": "el8l05WQEO46" "id": "el8l05WQEO46"
@@ -122,7 +120,6 @@
] ]
}, },
{ {
"attachments": {},
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"id": "QU5mdGvpTtEG" "id": "QU5mdGvpTtEG"
@@ -150,7 +147,6 @@
] ]
}, },
{ {
"attachments": {},
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"id": "eB5DQvU5hYNx" "id": "eB5DQvU5hYNx"
@@ -172,7 +168,6 @@
] ]
}, },
{ {
"attachments": {},
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"id": "F3trnavPiHpH" "id": "F3trnavPiHpH"
@@ -228,7 +223,6 @@
] ]
}, },
{ {
"attachments": {},
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"id": "s9Duf05WqqSC" "id": "s9Duf05WqqSC"
@@ -279,7 +273,6 @@
] ]
}, },
{ {
"attachments": {},
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"id": "RS1nEcYVuEAM" "id": "RS1nEcYVuEAM"
@@ -316,7 +309,6 @@
] ]
}, },
{ {
"attachments": {},
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"id": "5EIjMM9Fw2eT" "id": "5EIjMM9Fw2eT"
@@ -359,11 +351,11 @@
" print('Iter %d, a=%3.3f, b=%3.3f, c=%3.3f, d=%3.3f'%(n_iter, a,b,c,d))\n", " print('Iter %d, a=%3.3f, b=%3.3f, c=%3.3f, d=%3.3f'%(n_iter, a,b,c,d))\n",
" print('a %f, b%f, c%f, d%f'%(lossa,lossb,lossc,lossd))\n", " print('a %f, b%f, c%f, d%f'%(lossa,lossb,lossc,lossd))\n",
"\n", "\n",
" # Rule #1 If point A is less than points B, C, and D then halve points B,C, and D\n", " # Rule #1 If point A is less than points B, C, and D then change B,C,D so they are half their current distance from A\n",
" if np.argmin((lossa,lossb,lossc,lossd))==0:\n", " if np.argmin((lossa,lossb,lossc,lossd))==0:\n",
" b = b/2\n", " b = a+ (b-a)/2\n",
" c = c/2\n", " c = a+ (c-a)/2\n",
" d = d/2\n", " d = a+ (d-a)/2\n",
" continue;\n", " continue;\n",
"\n", "\n",
" # Rule #2 If point b is less than point c then\n", " # Rule #2 If point b is less than point c then\n",
@@ -577,9 +569,8 @@
], ],
"metadata": { "metadata": {
"colab": { "colab": {
"authorship_tag": "ABX9TyNk5FN4qlw3pk8BwDVWw1jN", "provenance": [],
"include_colab_link": true, "include_colab_link": true
"provenance": []
}, },
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3",
@@ -591,4 +582,4 @@
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 0 "nbformat_minor": 0
} }