You have all the pip requirements in the requirements.txt file.
$ pip3 install -r requirements.txt- python 3.x
- pip3
- virtualenvwrapper If you are using windows powershell it might not work unless you run it with CMD
- tensorflow*
*We recommend you to install it with pip3 (install tensorflow-gpu if you have cuda on your machine)
*In the workshop you will be learning to work with Keras (running on top of TensorFlow, CNTK, or Theano). You need TensorFlow to run as backend or CNTK, or Theano.
- gcloud Required for cloud training
- gsutil Required for cloud training
- floydhub-cli
- Keras
- cuda 8 Only if your computer can manage it
- cudnn Only if you managed to install cuda on your system
Set up your GCP project.
-
Select or create a Cloud Platform project. GO TO THE MANAGE RESOURCES PAGE
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Enable the Cloud Machine Learning Engine and Compute Engine APIs. ENABLE THE APIS
- Being smarter than AI (Friday after lunch)
- Train your models in the cloud (Friday after lunch)
- Electronics (basic level)
- Some hardware will be provided. We'll give some workshops about some of them but definitely we won't teach you how to light a LED
- Arduino
Note: Desktop apps may be accepted in some cases. If this is your case talk with the captain of the challenge before any coding!
- Mobile development. One of
- You're free to bring your own hardware :)
- You may want to add some backend to your projects. In this case Docker will be much appreciated
- Creativity 💡
- As already mentioned, Docker or Docker-Toolbox (for legacy systems) installed should be a must for a good deployment. More on that at the workshop
- Applications deployment & APIs management