https://github.com/sdsubhajitdas/my-tensorflow
A small experiment to recreate how basic Tensorflow works and in the process fully understand the working of Tensorflow.
https://github.com/sdsubhajitdas/my-tensorflow
deep-learning machine-learning machine-learning-api machine-learning-library machinelearning tensorflow tensorflow-experiments tensorflow-tutorials
Last synced: about 2 months ago
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A small experiment to recreate how basic Tensorflow works and in the process fully understand the working of Tensorflow.
- Host: GitHub
- URL: https://github.com/sdsubhajitdas/my-tensorflow
- Owner: sdsubhajitdas
- License: mit
- Created: 2018-07-15T13:09:22.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-07-15T18:08:09.000Z (over 7 years ago)
- Last Synced: 2025-01-31T02:43:09.899Z (11 months ago)
- Topics: deep-learning, machine-learning, machine-learning-api, machine-learning-library, machinelearning, tensorflow, tensorflow-experiments, tensorflow-tutorials
- Language: Python
- Homepage: https://github.com/Jeetu95/My-Tensorflow
- Size: 4.88 KB
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# My Tensorflow
This is a small project which I started with the intention of understanding how Google's [Tensorflow](https://github.com/tensorflow/tensorflow) works.This project is written in Python3.
## Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
### Prerequisites
You need to have the following packages pre-installed.
```
pip install numpy
```
### Installing
How to get started with My Tensorflow.
It is fairly simple you just need to clone the project.
```
git clone https://github.com/Jeetu95/My-Tensorflow.git
```
Include it in your project by adding this line in imports.
```
import my_tensorflow as mtf
```
Run the **example.py** to see if it is working or not.
## Using My Tesorflow
Example Code.
```
import my_tensorflow as mtf
a = mtf.Variable(10)
b = mtf.Variable(20)
c = mtf.add(a,b)
sess = mtf.Session()
print(sess.run(c))
```
Output
```
30
```
## Built With
* [Python](https://www.python.org/) - The language used for writting this project.
* [Numpy](http://www.numpy.org/) - The package used for fast computing of array object.
## Authors
* **Subhajit Das** - *Initial work* - [LinkedIn](https://www.linkedin.com/in/subhajit-das-764742142/) [Twitter](https://twitter.com/Subhajit_Das_95)
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details