https://github.com/slipnitskaya/deep-learning-tensorflow-ud730
Deep learning with TensorFlow. - Udacity course (2020).
https://github.com/slipnitskaya/deep-learning-tensorflow-ud730
course coursework deep-learning python tensorflow
Last synced: about 2 months ago
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Deep learning with TensorFlow. - Udacity course (2020).
- Host: GitHub
- URL: https://github.com/slipnitskaya/deep-learning-tensorflow-ud730
- Owner: slipnitskaya
- Created: 2020-10-03T15:59:44.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-01-08T13:44:35.000Z (over 5 years ago)
- Last Synced: 2025-10-31T02:26:12.522Z (8 months ago)
- Topics: course, coursework, deep-learning, python, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 267 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Deep learning with TensorFlow Course
### Project goal
This repository contains materials for the Udacity's Deep Learning [course](https://classroom.udacity.com/courses/ud730) written using the TensorFlow framework.
The following notebook collection demonstrates basics of deep learning applied to the classification task on the [notMNIST](http://yaroslavvb.blogspot.com/2011/09/notmnist-dataset.html) dataset.
### Structure
1. Exploring notMNIST using Machine learning ([notebook](https://github.com/slipnitskaya/deep-learning-tensorflow-ud730/blob/main/1_notmnist.ipynb)).
2. Fully Connected Deep Neural Networks ([notebook](https://github.com/slipnitskaya/deep-learning-tensorflow-ud730/blob/main/2_fullyconnected.ipynb)).
2. Regularization Techniques in Deep Learning ([notebook](https://github.com/slipnitskaya/deep-learning-tensorflow-ud730/blob/main/3_regularization.ipynb)).
4. Convolutional Neural Networks ([notebook](https://github.com/slipnitskaya/deep-learning-tensorflow-ud730/blob/main/4_convolutions.ipynb)).
###Libraries
Packages needed to be installed in order to reproduce the code are `six`, `numpy`, `ipython`, `imageio`, `pandas`, `tensorflow`, `scikit-learn`, and `matplotlib`.