#!/usr/bin/env python
# coding: utf-8

# ## Application fields

# In[1]:


from fastai.gen_doc.nbdoc import *  


# The fastai library allows you to train a [`Model`](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) on a certain [`DataBunch`](/basic_data.html#DataBunch) very easily by binding them together inside a [`Learner`](/basic_train.html#Learner) object. This module regroups the tools the library provides to help you preprocess and group your data in this format. 
# 
# ## [`collab`](/collab.html#collab)
# 
# This submodule handles the collaborative filtering problems.
# 
# ## [`tabular`](/tabular.html#tabular)
# 
# This sub-package deals with tabular (or structured) data.
# 
# ## [`text`](/text.html#text)
# 
# This sub-package contains everything you need for Natural Language Processing.
# 
# ## [`vision`](/vision.html#vision)
# 
# This sub-package contains the classes that deal with Computer Vision.
# 

# ## Module structure
# 
# In each case (except for [`collab`](/collab.html#collab)), the module is organized this way:
# 
# ### [`transform`](/tabular.transform.html#tabular.transform)
# 
# This sub-module deals with the pre-processing (data augmentation for images, cleaning for tabular data, tokenizing and numericalizing for text).
# 
# ### [`data`](/tabular.data.html#tabular.data)
# 
# This sub-module defines the dataset class(es) to deal with this kind of data.
# 
# ### [`models`](/tabular.models.html#tabular.models)
# 
# This sub-module defines the specific models used for this kind of data.
# 
# ### [`learner`](/tabular.learner.html#tabular.learner)
# 
# When it exists, this sub-module contains functions that will directly bind this data with a suitable model and add the necessary callbacks.

# ## Usage
# 
# To start using any of the above applications, simply import the top level module.  
# All the [submodules](#Module-structure) get included.

# The general structure is:
# ```python
# from fastai.[APPLICATION] import *
# ```

# For example, to use collab:
# ```python
# from fastai.collab import *
# ```

# *For more information on [imports](/index.html#imports)*

# ## Open This Notebook
# 
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