Student changes

labs/faq.md

@@ -20,7 +20,7 @@
   - `rocm7.1` to get AMD ROCm 7.1 build (Linux only).
 
   On macOS, the `--extra-index-url` has no effect and the Metal support is
-  installed in any case.
+  installed irrespective of this flag.
 
   **To update the `npfl138` package later, use `python3 -m pip install --user --upgrade npfl138`.**
 - _Installing to a virtual environment_
@@ -115,7 +115,7 @@
   ```
   This creates a new remote `course_repo` and a clone of the `master` branch
   from it; however, `git pull` and `git push` in this branch will operate
-  on the repository your cloned originally.
+  on the repository you cloned originally.
 
   To update your branch with the changes from the course repository, run
   ```

tasks/mnist_layers_activations.md

@@ -6,7 +6,7 @@
 
 Before solving the assignment, start by playing with
 [example_pytorch_tensorboard.py](https://github.com/ufal/npfl138/tree/master/labs/01/example_pytorch_tensorboard.py),
-in order to familiarize with PyTorch and TensorBoard. After running the example,
+in order to familiarize yourself with PyTorch and TensorBoard. After running the example,
 start TensorBoard in the same directory using `tensorboard --logdir logs` and
 open <http://localhost:6006> in a browser and explore the generated logs.
 

tasks/numpy_entropy.md

@@ -4,7 +4,7 @@
 #### Tests: numpy_entropy_tests
 #### Examples: numpy_entropy_examples
 
-The goal of this exercise is to familiarize with Python, NumPy and ReCodEx
+The goal of this exercise is to familiarize yourself with Python, NumPy and the ReCodEx
 submission system. Start with the
 [numpy_entropy.py](https://github.com/ufal/npfl138/tree/master/labs/01/numpy_entropy.py).
 

tasks/pca_first.md

@@ -3,7 +3,7 @@
 #### Points: 2 points
 #### Tests: pca_first_tests
 
-The goal of this exercise is to familiarize with PyTorch `torch.Tensor`s,
+The goal of this exercise is to familiarize yourself with PyTorch `torch.Tensor`s,
 shapes and basic tensor manipulation methods. Start with the
 [pca_first.py](https://github.com/ufal/npfl138/tree/master/labs/01/pca_first.py)
 template.