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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fastai/fastbook/master)
[English](./README.md) / [Spanish](./README_es.md) / [Korean](./README_ko.md) / [Chinese](./README_zh.md) / [Bengali](./README_bn.md) / [Indonesian](./README_id.md) / [Italian](./README_it.md) / [Portuguese](./README_pt.md) / [Vietnamese](./README_vn.md)
# The fastai book
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## Colab
Instead of cloning this repo and opening it on your machine, you can read and work with the notebooks directly on Google Colab. This is the recommended approach for folks who are just getting started -- there's no need to set up a Python development environment on your own machine, since you can just work directly in your web-browser.
Instead of cloning this repo and opening it on your machine, you can read and work with the notebooks using [Google Colab](https://research.google.com/colaboratory/). This is the recommended approach for folks who are just getting started -- there's no need to set up a Python development environment on your own machine, since you can just work directly in your web-browser.
You can open any chapter of the book in Colab by clicking on one of these links: [Introduction to Jupyter](https://colab.research.google.com/github/fastai/fastbook/blob/master/app_jupyter.ipynb) | [Chapter 1, Intro](https://colab.research.google.com/github/fastai/fastbook/blob/master/01_intro.ipynb) | [Chapter 2, Production](https://colab.research.google.com/github/fastai/fastbook/blob/master/02_production.ipynb) | [Chapter 3, Ethics](https://colab.research.google.com/github/fastai/fastbook/blob/master/03_ethics.ipynb) | [Chapter 4, MNIST Basics](https://colab.research.google.com/github/fastai/fastbook/blob/master/04_mnist_basics.ipynb) | [Chapter 5, Pet Breeds](https://colab.research.google.com/github/fastai/fastbook/blob/master/05_pet_breeds.ipynb) | [Chapter 6, Multi-Category](https://colab.research.google.com/github/fastai/fastbook/blob/master/06_multicat.ipynb) | [Chapter 7, Sizing and TTA](https://colab.research.google.com/github/fastai/fastbook/blob/master/07_sizing_and_tta.ipynb) | [Chapter 8, Collab](https://colab.research.google.com/github/fastai/fastbook/blob/master/08_collab.ipynb) | [Chapter 9, Tabular](https://colab.research.google.com/github/fastai/fastbook/blob/master/09_tabular.ipynb) | [Chapter 10, NLP](https://colab.research.google.com/github/fastai/fastbook/blob/master/10_nlp.ipynb) | [Chapter 11, Mid-Level API](https://colab.research.google.com/github/fastai/fastbook/blob/master/11_midlevel_data.ipynb) | [Chapter 12, NLP Deep-Dive](https://colab.research.google.com/github/fastai/fastbook/blob/master/12_nlp_dive.ipynb) | [Chapter 13, Convolutions](https://colab.research.google.com/github/fastai/fastbook/blob/master/13_convolutions.ipynb) | [Chapter 14, Resnet](https://colab.research.google.com/github/fastai/fastbook/blob/master/14_resnet.ipynb) | [Chapter 15, Arch Details](https://colab.research.google.com/github/fastai/fastbook/blob/master/15_arch_details.ipynb) | [Chapter 16, Optimizers and Callbacks](https://colab.research.google.com/github/fastai/fastbook/blob/master/16_accel_sgd.ipynb) | [Chapter 17, Foundations](https://colab.research.google.com/github/fastai/fastbook/blob/master/17_foundations.ipynb) | [Chapter 18, GradCAM](https://colab.research.google.com/github/fastai/fastbook/blob/master/18_CAM.ipynb) | [Chapter 19, Learner](https://colab.research.google.com/github/fastai/fastbook/blob/master/19_learner.ipynb) | [Chapter 20, conclusion](https://colab.research.google.com/github/fastai/fastbook/blob/master/20_conclusion.ipynb)