This week we have 3 exercises. They each have a python notebook, which is a set of instructions and code you can run. They are ment to be run in colab. There you have access to a powerfull GPU, and you don't need any additional setup. You do need Google account to run the notebooks in colab.
(not recommended) Alternatively you could use https://www.kaggle.com/notebooks to run the notebooks, or you can install and run jupyter notebook on your own machine.
For the best experience you'll need to enable GPUs for the notebook:
- Navigate to Edit→Notebook Settings
- select GPU from the Hardware Accelerator drop-down
I also recommend to click "Copy in drive" to run the code in your own Google Drive
On tensorflow.org/tutorials can you find lots of learning material and good tutorials.
If you find our exercises hard, it could be a good idea to check out one of the tensorflow tutorials, as they are much more in depth.
Read in github (cannot run) TEK5030_deep_learning_EX1.ipynb
Read in github (cannot run) TEK5030_deep_learning_EX2.ipynb
Read in github (cannot run) TEK5030_deep_learning_EX3.ipynb
TEK5030_deep_learning_EX1_solutions.ipynb