Uppercase class name (#1692)

docs_src/training.ipynb

@@ -31,7 +31,7 @@
     "\n",
     "[`basic_train`](/basic_train.html#basic_train) defines this [`Learner`](/basic_train.html#Learner) class, along with the wrapper around the PyTorch optimizer that the library uses. It defines the basic training loop that is used each time you call the [`fit`](/basic_train.html#fit) method (or one of its variants) in fastai. This training loop is very bare-bones and has very few lines of codes; you can customize it by supplying an optional [`Callback`](/callback.html#Callback) argument to the [`fit`](/basic_train.html#fit) method.\n",
     "\n",
-    "[`callback`](/callback.html#callback) defines the [`callback`](/callback.html#callback) class and the [`CallbackHandler`](/callback.html#CallbackHandler) class that is responsible for the communication between the training loop and the [`Callback`](/callback.html#Callback)'s methods. The [`CallbackHandler`](/callback.html#CallbackHandler) maintains a state dictionary able to provide each [`Callback`](/callback.html#Callback) object all the information of the training loop it belongs to, making any imaginable tweaks of the training loop within your reach.\n",
+    "[`callback`](/callback.html#callback) defines the [`Callback`](/callback.html#Callback) class and the [`CallbackHandler`](/callback.html#CallbackHandler) class that is responsible for the communication between the training loop and the [`Callback`](/callback.html#Callback)'s methods. The [`CallbackHandler`](/callback.html#CallbackHandler) maintains a state dictionary able to provide each [`Callback`](/callback.html#Callback) object all the information of the training loop it belongs to, making any imaginable tweaks of the training loop within your reach.\n",
     "\n",
     "[`callbacks`](/callbacks.html#callbacks) implements each predefined [`Callback`](/callback.html#Callback) class of the fastai library in separate modules. Some deal with scheduling the hyperparameters, like [`callbacks.one_cycle`](/callbacks.one_cycle.html#callbacks.one_cycle), [`callbacks.lr_finder`](/callbacks.lr_finder.html#callbacks.lr_finder) and [`callback.general_sched`](/callbacks.general_sched.html#callbacks.general_sched). Others allow special kinds of training like [`callbacks.fp16`](/callbacks.fp16.html#callbacks.fp16) (mixed precision) and [`callbacks.rnn`](/callbacks.rnn.html#callbacks.rnn). The [`Recorder`](/basic_train.html#Recorder) and [`callbacks.hooks`](/callbacks.hooks.html#callbacks.hooks) are useful to save some internal data generated in the training loop.\n",
     "\n",