The labs will be run in Google's Colaboratory, a Jupyter notebook environment that runs entirely in the cloud, you don't need to download anything. To run these labs, you must have a Google account.
On this Github repo, navigate to the lab folder you want to run and open the appropriate python notebook (*.ipynb). Click the "Run in Colab" link on the top of the lab. That's it!
Now, to run the labs, open the Jupyter notebook on Colab. Navigate to the "Runtime" tab --> "Change runtime type". In the pop-up window, under "Runtime type" select "Python 3", and under "Hardware accelerator" select "GPU". Go through the notebooks and fill in the #TODO cells to get the code to compile for yourself!
Use the following links to navigate through the labs:
- Lab0: Introduction to Keras & Tensorflow
- Lab1: Linear Regression & Logistic Regression
- Lab2: Multinominal Classification
- Lab3: Convolutional Neural Networks Use Cases
- Lab4: Music Generation with RNNs
- Lab5: Visual Image Caption Generation
- Lab6: Cartpole - Reinforcement Learning
- Lab7: Transformer-based Sentiment Analysis