https://github.com/dhruvdcoder/tensorflowexperiments
An aggregation of my experiments in Neural Networks and Deep Learning using TensorFlow.
https://github.com/dhruvdcoder/tensorflowexperiments
computational-graphs deep-learning machine-learning neutralnetworks python python-3 tensorflow
Last synced: about 1 month ago
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An aggregation of my experiments in Neural Networks and Deep Learning using TensorFlow.
- Host: GitHub
- URL: https://github.com/dhruvdcoder/tensorflowexperiments
- Owner: dhruvdcoder
- License: other
- Created: 2018-03-16T21:56:45.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-09-22T08:30:42.000Z (over 7 years ago)
- Last Synced: 2025-02-08T22:42:07.223Z (over 1 year ago)
- Topics: computational-graphs, deep-learning, machine-learning, neutralnetworks, python, python-3, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 2.51 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# TensorFlowExperiments
An aggregation of my experiments in Neural Networks and Deep Learning using TensorFlow.
# Setup
1. Install python3 on your system following the official instructions given [here](https://docs.python.org/3/using/unix.html#getting-and-installing-the-latest-version-of-python)
2. Install *virtualenv* using pip3.
```
$ pip3 install virtualenv
```
3. Create a folder where you wish to keep the project
a. On Linux
```
$ mkdir TensorFlowExperimentsFolder
$ cd TensorFlowExperimentsFolder
```
4. Clone the repository using git
```
$ git clone https://github.com/dhruvdcoder/TensorFlowExperiments.git
```
5. Create a virtual environment
```
$ cd TensorFlowExperiements
$ source bin/activate
```
6. Install all requirements
```
$ pip3 install -r requirements.txt
```
And you are all set.
## Contribution
Please create a pull request or contact me if you would like to contribute to this repository