https://github.com/cnuahs/tensorflow-intro
My Jupyter notebook from the Monash DataFluency Tensor Flow and Machine Learning workshop.
https://github.com/cnuahs/tensorflow-intro
colab-notebook colaboratory jupyter jupyter-notebook python python3 python36 tensorflow tensorflow-tutorials
Last synced: about 1 month ago
JSON representation
My Jupyter notebook from the Monash DataFluency Tensor Flow and Machine Learning workshop.
- Host: GitHub
- URL: https://github.com/cnuahs/tensorflow-intro
- Owner: cnuahs
- Created: 2019-03-23T02:49:22.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-23T09:11:13.000Z (about 7 years ago)
- Last Synced: 2025-01-03T07:48:49.833Z (over 1 year ago)
- Topics: colab-notebook, colaboratory, jupyter, jupyter-notebook, python, python3, python36, tensorflow, tensorflow-tutorials
- Language: Jupyter Notebook
- Homepage:
- Size: 1.26 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# tensorflow-intro
My Jupyter notebook from the Monash DataFluency **_Tensor Flow and Machine Learning_** workshop.
The notebook makes use of the DataFluency `TutorialSupport` package and sample data.
To get started, clone this repository:
```bash
$ $ git clone https://github.com/cshaun/tensorflow-intro.git tensorflow-intro.git
$ cd ./tensorflow-intro.git
```
Then create a virtual environment and setup your environment:
```bash
$ python3 -m virtualenv --no-site-packages --distribute env36
$ source env/bin/activate
(env36) $ pip3 install -U git+https://github.com/MonashDataFluency/intro-to-tensorflow.git
(env36) $ pip3 install jupyter
```
This installs the Monash DataFluency `TutorialSupport` package and dependencies, including `TensorFlow` and some sample datasets for machine learning. Note that the `TutorialSupport` package resets the random seed each time a session is created, to ensure results are reproducible, and limits the number of threads to 2. The `TutorialSupport` package requires python3 (tested using python3.6 on OS X).
To start the Jupyter notebook server:
```bash
(env) $ jupyter notebook
```
which should launch your browser, displaying the Jupyter dashboard and the contents of the current directory.
---
Alternatively, you can probably open the notebook on [Google's Colaboratory](https://colab.research.google.com/ "Google Colab") by clicking the button below:
[](https://colab.research.google.com/github/cnuahs/tensorflow-intro/blob/master/ML_Coursework_Student.ipynb).
To run on Colab you need to install the `TutorialSupport` package from within the notebook by adding and executing a code cell containing something like:
```
pip install git+https://github.com/MonashDataFluency/intro-to-tensorflow.git
```