https://github.com/upul/getting-started-with-tensorflow
Getting Started with TensorFlow: How to Build Machine Learning Models using TensorFlow
https://github.com/upul/getting-started-with-tensorflow
deep-learning jupyter-notebook machine-learning python-3 tensorflow
Last synced: 2 months ago
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Getting Started with TensorFlow: How to Build Machine Learning Models using TensorFlow
- Host: GitHub
- URL: https://github.com/upul/getting-started-with-tensorflow
- Owner: upul
- Created: 2017-02-16T04:18:38.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-07-05T07:28:19.000Z (almost 9 years ago)
- Last Synced: 2025-01-19T00:51:58.478Z (over 1 year ago)
- Topics: deep-learning, jupyter-notebook, machine-learning, python-3, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 10.9 MB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Getting Started with TensorFlow
This repository contains a collection of Tensorflow tutorials mainly written in Jupiter Notebooks. Please kindly note that this is being developed and I'm planning to discuss following topics.
1. Introduction
2. Regression Models
3. Introduction to Classification Models
4. Introduction to Neural Networks
5. Digit Classification using Deep Networks
6. Introduction to Convolutional Neural Networks
```python
x, y = DataGenerator.linear(lambda x: 3*x + 5, 0, 10, sample_size=250, noise_mean=0, noise_var=5)
plt.scatter(x, y, s=25, color = '#c51b3a')
plt.show()
```