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# AMLD "Tensorflow Basics" Workshop | ||
# [AMLD](https://www.appliedmldays.org) TensorFlow Workshop | ||
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This workshop was given during the Applied ML days at EPFL: | ||
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https://www.appliedmldays.org/workshop_sessions/tensorflow-basics.1 | ||
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The workshop introduces basic Tensorflow concepts and contains example code to | ||
The workshop introduces basic TensorFlow concepts and contains example code to | ||
build different estimators (canned, 2D convolutional, RNN). We use the | ||
["Quick, Draw" dataset](quickdraw.withgoogle.com/data). The repository also | ||
contains example code for training the models on Google's | ||
[Cloud ML](https://cloud.google.com/ml-engine/). | ||
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[](https://goo.gl/395fmU) | ||
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## Installation | ||
## How-to run these notebooks | ||
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1. Install [Docker CE](https://www.docker.com/community-edition) | ||
2. Download this repository: `git clone https://github.com/tensorflow/workshops` | ||
3. Change directory: `cd workshops/extras/amld` | ||
4. Run Tensorflow Docker image: | ||
`docker run -it -v $(pwd)/notebooks:/notebooks/amld -p 127.0.0.1:8888:8888 -p 127.0.0.1:6006:6006 tensorflow/tensorflow` | ||
5. Navigate to http://localhost:8888/tree/amld/exercises | ||
6. Work through exercises `0_intro.ipynb` ... `5_qd_cloud.ipynb`. | ||
Read [these instructions](https://github.com/tensorflow/workshops#how-to-run-these-notebooks) | ||
to download this repository and get TensorFlow running on your computer. You | ||
will then find the notebooks under | ||
`http://localhost:8888/tree/extras/amld/notebooks` | ||
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