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106 lines
2.4 KiB
Plaintext
106 lines
2.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![](images/EscUpmPolit_p.gif \"UPM\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Course Notes for Learning Intelligent Systems"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Introduction to Neural Networks\n",
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" \n",
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"In this lab session, we are going to learn how to train a neural network.\n",
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"\n",
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"# Objectives\n",
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"\n",
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"The main objectives of this session are:\n",
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"* Put in practice the notions learn in class about neural computing\n",
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"* Understand what an MLP is\n",
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"* Learn to use some libraries, such as scikit-learn "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Table of Contents"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1. [Home](2_4_0_Intro_NN.ipynb)\n",
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"1. [Exercise](2_4_1_Exercise.ipynb)\n",
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"1. [Exercise Optional](2_4_2_Exercise_Optional.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Licence\n",
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"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
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"\n",
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"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
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]
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}
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],
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"display_name": "Python 3",
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"name": "python3"
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.1"
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},
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"latex_envs": {
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"LaTeX_envs_menu_present": true,
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"bibliofile": "biblio.bib",
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"cite_by": "apalike",
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"equation": "Ctrl-E",
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"itemize": "Ctrl-I"
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"user_envs_cfg": false
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"nbformat": 4,
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