lab4b_examples.Rmd

---
title: "Lab 4b. Deep Learning - Keras Examples"
editor_options: 
  chunk_output_type: console
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = F)
```

In today's lab you'll run through introductory examples with the most common types of response variables, i.e. targets, from *Deep Learning with R/Python*.

-   3.4 🍿 Movies (binary classification)\
    Classify movie reviews (`dataset_imdb()`) as positive or negative.\
    R: [html](./lab4b_3.4.movies.html), [Rmd](https://raw.githubusercontent.com/bbest/eds232-ml/main/lab4b_3.4.movies.Rmd) ; Python: [html](https://github.com/bbest/deep-learning-with-python-notebooks/blob/master/first_edition/3.5-classifying-movie-reviews.ipynb), [ipynb](https://github.com/bbest/deep-learning-with-python-notebooks/raw/master/first_edition/3.5-classifying-movie-reviews.ipynb)

-   3.5 📰 Newswires (multi-class classification)\
    Classify news wires (`dataset_reuters()`) by topic.\
    R: [html](./lab4b_3.5.newswires.html), [Rmd](https://raw.githubusercontent.com/bbest/eds232-ml/main/lab4b_3.5.newswires.Rmd); Python: [html](https://github.com/bbest/deep-learning-with-python-notebooks/blob/master/first_edition/3.6-classifying-newswires.ipynb),  [ipynb](https://github.com/bbest/deep-learning-with-python-notebooks/raw/master/first_edition/3.6-classifying-newswires.ipynb)

-   3.6 🏠 House prices (regression)\
    Estimate the price of a house (`dataset_boston_housing()`), given real-estate data.\
    R: [html](./lab4b_3.6.houseprices.html), [Rmd](https://raw.githubusercontent.com/bbest/eds232-ml/main/lab4b_3.6.houseprices.Rmd); Python: [html](https://github.com/bbest/deep-learning-with-python-notebooks/blob/master/first_edition/3.7-predicting-house-prices.ipynb),  [ipynb](https://github.com/bbest/deep-learning-with-python-notebooks/raw/master/first_edition/3.7-predicting-house-prices.ipynb)

-   4.4 🍿 Overfitting and underfitting\
    Refine movie review classification model.\
    R: [html](./lab4b_4.4.overfitting.html), [Rmd](https://raw.githubusercontent.com/bbest/eds232-ml/main/lab4b_4.4.overfitting.Rmd); Python: [html](https://github.com/bbest/deep-learning-with-python-notebooks/blob/master/first_edition/4.4-overfitting-and-underfitting.ipynb), [ipynb](https://github.com/bbest/deep-learning-with-python-notebooks/raw/master/first_edition/4.4-overfitting-and-underfitting.ipynb)