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You can find instructions on how to install TensorFlow [here](https://www.tensorflow.org/install/).\n\nThe powerpoint and pdf slides for the tutorial part of the Hackathon are in the [Presentation](./Presentation) folder. \n\n## Timetable\n\nThursday 26th of April, Tutorial (10 - 12 am):\n\n* Introduction to TensorFlow (presentation, ~20 min):\n\n    1. What is the point of TensorFlow\n    2. Comparison of Numpy and TensorFlow\n    3. Bulding a data flow graph\n    4. Running the graph\n    5. Basic components of a program in TensorFlow\n\n* Playing with examples 1 (workshop, ~20 min):\n\n    1. Summing numbers\n    2. Linear regression\n    3. Quadratic function\n\n* How to build a simple neural network (presentation, ~15 min)\n\n    1. How does a neural network work. A good reference can be found [here](http://ufldl.stanford.edu/tutorial/). \n\n* Playing with examples 2 (workshop, ~20 min):\n\n    1. Cubic function\n\n* Tensorboard and Dataset API (presentation, ~15 min)\n\nThursday 26th of April, Projects (1-5 pm):\n\n1. Auto-encoder for picture compression:\nIntroductions to the theory of autoencoders and how to build one can be found [here](http://ufldl.stanford.edu/tutorial/unsupervised/Autoencoders/) and [here](https://blog.keras.io/building-autoencoders-in-keras.html).\n\n2. \"Beginner\" tensorflow tutorials can be found [here](https://www.tensorflow.org/versions/r1.1/get_started/mnist/beginners).\n \n3. Advanced tensorflow tutorials can be found [here](https://www.tensorflow.org/tutorials/). For those of you that are feeling adventurous...\n\nFriday 27th of April:\n\nCarry on with the Hackathon projects/tutorials.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsilviaamam%2Ftf_hackathon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsilviaamam%2Ftf_hackathon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsilviaamam%2Ftf_hackathon/lists"}