add colab_instructions

.gitignore

@@ -130,3 +130,6 @@ dmypy.json
 
 # solved notebooks
 *_solved*
+
+# any zipped
+*.zip

colab_instructions.md

@@ -0,0 +1,13 @@
+# Running on Google Colab (tested for all weeks)
+Google has released its own flavour of Jupyter called Colab, which has free GPUs!
+
+Here's how you can use it:
+1. Open https://colab.research.google.com, click **Sign in** in the upper right corner, use your Google credentials to sign in.
+2. Click **GITHUB** tab, paste https://github.com/hse-aml/intro-to-dl-pytorch and press Enter
+3. Choose the notebook you want to open, e.g. week01/week01_linear_models.ipynb
+4. Click **File -> Save a copy in Drive...** to save your progress in Google Drive
+5. Click **Runtime -> Change runtime type** and select **GPU** in Hardware accelerator box
+6. Start with **executing** some of the first cells that download dependencies and import packages
+7. Enjoy the assignment!
+8. If you run many notebooks on Colab, they can continue to eat up memory,
+you can kill them with `! pkill -9 python3` and check with `! nvidia-smi` that GPU memory is freed.