Improve grammar (#1619)

burn-book/src/basic-workflow/training.md

@@ -125,7 +125,7 @@ pub fn train<B: AutodiffBackend>(artifact_dir: &str, config: TrainingConfig, dev
     B::seed(config.seed);
 
     let batcher_train = MnistBatcher::<B>::new(device.clone());
-    let batcher_valid = MnistBatcher::<B::InnerBackend>::new(device.clone());
+    let batcher_valid = MnistBatcher::<B>::InnerBackend>::new(device.clone());
 
     let dataloader_train = DataLoaderBuilder::new(batcher_train)
         .batch_size(config.batch_size)

burn-book/src/building-blocks/dataset.md

@@ -1,6 +1,6 @@
 # Dataset
 
-Most deep learning training being done on datasets –with perhaps the exception of reinforcement learning–, it is
+In most deep learning training performed on datasets (with perhaps the exception of reinforcement learning), it is
 essential to provide a convenient and performant API.
 The dataset trait is quite similar to the dataset abstract class in PyTorch:
 
@@ -69,7 +69,7 @@ let dataset = ShuffledDataset<DbPedia, DbPediaItem>::with_seed(dataset, 42);
 ```rust, ignore
 // define chained dataset type here for brevity
 type PartialData = PartialDataset<ShuffledDataset<DbPedia, DbPediaItem>>;
-let dataset_len = dataset.len();
+let len = dataset.len();
 let split == "train"; // or "val"/"test"
 
 let data_split = match split {