Strengthening African Machine Learning
9-14 September 2018, Stellenbosch University, South Africa
9-14 September 2018, Stellenbosch University, South Africa
Weekly Update: week ending 7 September
Practicals
We will host 5 practical (programming) sessions in the computer labs during the week, covering all of the major topic areas at the Indaba: An introduction to machine learning, feed-forward networks, convolutional neural networks, recurrent neural networks and reinforcement learning. These sessions will complement the material presented in the lectures and will address the practical considerations around implementing deep learning models. They will also give you the time to engage with the many tutors, mentors and speakers attending the Indaba!
This year the practicals will be implemented in Python and Tensorflow and will be run on “Google Colab”.
In order to prepare yourself:
Practicals
We will host 5 practical (programming) sessions in the computer labs during the week, covering all of the major topic areas at the Indaba: An introduction to machine learning, feed-forward networks, convolutional neural networks, recurrent neural networks and reinforcement learning. These sessions will complement the material presented in the lectures and will address the practical considerations around implementing deep learning models. They will also give you the time to engage with the many tutors, mentors and speakers attending the Indaba!
This year the practicals will be implemented in Python and Tensorflow and will be run on “Google Colab”.
In order to prepare yourself:
- Ensure that you have a Google/GMail account
- Log in to https://colab.research.google.com, click on the “Examples” tab and run the “Overview of Colaboratory features” to get familiar with Colab.
- If you are not familiar with Python and/or Numpy, please go through our “Python & Numpy Tutorial”. You can access this by following these steps:
- Open Colab
- Ensure you are logged in to your Google account
- Click on the “Github” tab
- Type “deep-learning-indaba” (without the quotes) into the “Enter a GitHub URL or search by organization or user” box and press ENTER.
- Click on practical0.ipynb
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