Fix Typos in Docs

docs/old_tutorials/2024-04-10-blitz.md

@@ -200,7 +200,7 @@ for (k, p) in trainables(model, path=true)
 end
 ```
 
-You don't have to use layers, but they can be convient for many simple kinds of models and fast iteration.
+You don't have to use layers, but they can be convenient for many simple kinds of models and fast iteration.
 
 The next step is to update our weights and perform optimisation. As you might be familiar, *Gradient Descent* is a simple algorithm that takes the weights and steps using a learning rate and the gradients. `weights = weights - learning_rate * gradient`.
 

docs/old_tutorials/2024-04-10-mlp.md

@@ -101,7 +101,7 @@ end
 ```
 
 
-In addition, we define the function (`accuracy`) to report the accuracy of our model during the training process. To compute the accuray, we need to decode the output of our model using the [onecold](https://fluxml.ai/Flux.jl/stable/data/onehot/#Flux.onecold) function. 
+In addition, we define the function (`accuracy`) to report the accuracy of our model during the training process. To compute the accuracy, we need to decode the output of our model using the [onecold](https://fluxml.ai/Flux.jl/stable/data/onehot/#Flux.onecold) function. 
 
 ```julia
 function accuracy(dataloader, model)