fastai transform link updated
"\n",
"Data preparation can be a time consuming process that typically involves splitting the data into training and validation sets, applying various data augmentation techniques, creating the necessary data structures for loading data into the model, memory management by using the appropriately sized mini-batches of data and so on. The `prepare_data()` method can directly read the training samples exported by ArcGIS and automate the entire process.\n",
"\n",
- "By default, `prepare_data()` uses a default set of transforms for data augmentation that work well for satellite imagery. These transforms randomly rotate, scale and flip the images so the model sees a different image each time. Alternatively, users can compose their own transforms using [fast.ai transforms](https://docs.fast.ai/vision.transform.html) for the specific data augmentations they wish to perform."
+ "By default, `prepare_data()` uses a default set of transforms for data augmentation that work well for satellite imagery. These transforms randomly rotate, scale and flip the images so the model sees a different image each time. Alternatively, users can compose their own transforms using [fast.ai transforms]( https://fastai1.fast.ai/vision.transform.html) for the specific data augmentations they wish to perform."
]
},
{
