Difference between revisions of "TENSORFLOW"
(Created page with "=Installation= == ANACONDA == The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and ...") |
|||
| Line 26: | Line 26: | ||
docker run -it -p 8888:8888 tensorflow/tensorflow # Start a Jupyter notebook server | docker run -it -p 8888:8888 tensorflow/tensorflow # Start a Jupyter notebook server | ||
</source> | </source> | ||
| + | |||
| + | === Neuron Network === | ||
| + | |||
| + | https://sergioskar.github.io/assets/img/posts/neuron.jpg | ||
Revision as of 10:25, 9 November 2019
Installation
ANACONDA
The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac OS X. With over 15 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to:
- Quickly download 1,500+ Python/R data science packages
- Manage libraries, dependencies, and environments with Conda
- Develop and train machine learning and deep learning models with scikit-learn, TensorFlow, and Theano
- Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba
- Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews
Download : https://www.anaconda.com/distribution/
PYCHARM - IDE
For both Scientific and Web Python development. With HTML, JS, and SQL support.
Download : https://www.jetbrains.com/pycharm/download/#section=mac
TENSORFLOW
Download : https://www.tensorflow.org/install
or you can run in Docker container:
docker pull tensorflow/tensorflow # Download latest image
docker run -it -p 8888:8888 tensorflow/tensorflow # Start a Jupyter notebook serverNeuron Network
