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Upgrade notebooks to TensorFlow 1.0.0

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This commit is contained in:
Aurélien Geron
2017-02-17 11:51:26 +01:00
parent 146fde1127
commit d8176ec2cb
43 changed files with 3615 additions and 7542 deletions
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269
04_training_linear_models.ipynb
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@@ -2,37 +2,51 @@
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"**Chapter 4 – Training Linear Models**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"_This notebook contains all the sample code and solutions to the exercices in chapter 4._"
]
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Setup"
]
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"First, let's make sure this notebook works well in both python 2 and 3, import a few common modules, ensure MatplotLib plots figures inline and prepare a function to save the figures:"
]
},
{
"cell_type": "code",
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"execution_count": 1,
"metadata": {
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"source": [
@@ -69,7 +83,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Linear regression using the Normal Equation"
]
@@ -78,7 +95,9 @@
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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@@ -90,7 +109,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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@@ -106,7 +127,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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@@ -120,7 +143,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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@@ -131,7 +156,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
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"editable": true
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@@ -145,7 +172,9 @@
"cell_type": "code",
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"metadata": {
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"collapsed": false,
"deletable": true,
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@@ -163,7 +192,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
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@@ -177,7 +208,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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"source": [
@@ -186,7 +219,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Linear regression using batch gradient descent"
]
@@ -195,7 +231,9 @@
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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"source": [
@@ -233,7 +271,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Stochastic Gradient Descent"
]
@@ -242,7 +283,9 @@
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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@@ -285,7 +328,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
@@ -296,7 +341,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
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@@ -309,7 +356,9 @@
"cell_type": "code",
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"metadata": {
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"collapsed": false,
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@@ -318,7 +367,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Mini-batch gradient descent"
]
@@ -327,7 +379,9 @@
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": true
"collapsed": true,
"deletable": true,
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@@ -362,7 +416,9 @@
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
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@@ -373,7 +429,9 @@
"cell_type": "code",
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"collapsed": false,
"deletable": true,
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@@ -386,7 +444,9 @@
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
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"source": [
@@ -404,7 +464,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Polynomial regression"
]
@@ -413,7 +476,9 @@
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": true
"collapsed": true,
"deletable": true,
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@@ -430,7 +495,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
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"deletable": true,
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@@ -446,7 +513,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
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@@ -460,7 +529,9 @@
"cell_type": "code",
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"metadata": {
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@@ -471,7 +542,9 @@
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
@@ -484,7 +557,9 @@
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
@@ -505,7 +580,9 @@
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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"source": [
@@ -538,7 +615,9 @@
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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@@ -572,7 +651,9 @@
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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"source": [
@@ -591,7 +672,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Regularized models"
]
@@ -600,7 +684,9 @@
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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},
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@@ -645,7 +731,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
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"source": [
@@ -659,20 +747,24 @@
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"sgd_reg = SGDRegressor(penalty=\"l2\", random_state=42)\n",
"sgd_reg.fit(X, y.ravel())\n",
"ridge_reg.predict([[1.5]])"
"sgd_reg.predict([[1.5]])"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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"source": [
@@ -685,7 +777,9 @@
"cell_type": "code",
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"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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@@ -706,7 +800,9 @@
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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@@ -720,7 +816,9 @@
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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"source": [
@@ -735,6 +833,8 @@
"execution_count": 35,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true,
"scrolled": true
},
"outputs": [],
@@ -796,7 +896,9 @@
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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"source": [
@@ -824,7 +926,9 @@
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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"source": [
@@ -837,7 +941,9 @@
"cell_type": "code",
"execution_count": 38,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
},
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@@ -866,7 +972,9 @@
"cell_type": "code",
"execution_count": 39,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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@@ -930,7 +1038,10 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Logistic regression"
]
@@ -939,7 +1050,9 @@
"cell_type": "code",
"execution_count": 40,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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@@ -962,7 +1075,9 @@
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
"editable": true
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@@ -975,7 +1090,9 @@
"cell_type": "code",
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"metadata": {
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@@ -986,7 +1103,9 @@
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": false
"collapsed": false,
"deletable": true,
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"source": [
@@ -1023,7 +1142,9 @@
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": false
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@@ -1034,7 +1155,9 @@
"cell_type": "code",
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@@ -1045,7 +1168,9 @@
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@@ -1091,7 +1216,9 @@
"cell_type": "code",
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@@ -1139,7 +1266,9 @@
"cell_type": "code",
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"metadata": {
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@@ -1150,7 +1279,9 @@
"cell_type": "code",
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@@ -1159,14 +1290,20 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Exercise solutions"
]
},
{
"cell_type": "markdown",
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"metadata": {
"deletable": true,
"editable": true
},
"source": [
"**Coming soon**"
]
@@ -1175,7 +1312,9 @@
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@@ -1197,7 +1336,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
"version": "3.5.2+"
},
"nav_menu": {},
"toc": {