|
3 | 3 | Introduction to deep learning based on Google's TensorFlow framework. A fork of [nlintz/TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials) being updated with TensorFlow 2.0 and Keras.
|
4 | 4 |
|
5 | 5 | ## Topics
|
6 |
| -* [Simple Multiplication](00_multiply.py) |
7 |
| -* [Linear Regression](01_linear_regression.py) |
8 |
| -* [Logistic Regression](02_logistic_regression.py) |
9 |
| -* [Feedforward Neural Network (Multilayer Perceptron)](03_net.py) (not yet updated) |
10 |
| -* [Deep Feedforward Neural Network (Multilayer Perceptron with 2 Hidden Layers O.o)](04_modern_net.py) (not yet updated) |
11 |
| -* [Convolutional Neural Network](05_convolutional_net.py) (not yet updated) |
12 |
| -* [Denoising Autoencoder](06_autoencoder.py) (not yet updated) |
13 |
| -* [Recurrent Neural Network (LSTM)](07_lstm.py) (not yet updated) |
14 |
| -* [Word2vec](08_word2vec.py) (not yet updated) |
15 |
| -* [TensorBoard](09_tensorboard.py) (not yet updated) |
16 |
| -* [Save and restore net](10_save_restore_net.py) (not yet updated) |
17 |
| -* [Generative Adversarial Network](11_gan.py) (not yet updated) |
| 6 | +* [Simple Multiplication](00_multiply.ipynb) |
| 7 | +* [Linear Regression](01_linear_regression.ipynb) |
| 8 | +* [Logistic Regression](02_logistic_regression.ipynb) |
| 9 | +* [Feedforward Neural Network (Multilayer Perceptron)](03_net.ipynb) (not yet updated) |
| 10 | +* [Deep Feedforward Neural Network (Multilayer Perceptron with 2 Hidden Layers O.o)](04_modern_net.ipynb) (not yet updated) |
| 11 | +* [Convolutional Neural Network](05_convolutional_net.ipynb) (not yet updated) |
| 12 | +* [Denoising Autoencoder](06_autoencoder.ipynb) (not yet updated) |
| 13 | +* [Recurrent Neural Network (LSTM)](07_lstm.ipynb) (not yet updated) |
| 14 | +* [Word2vec](08_word2vec.ipynb) (not yet updated) |
| 15 | +* [TensorBoard](09_tensorboard.ipynb) (not yet updated) |
| 16 | +* [Save and restore net](10_save_restore_net.ipynb) (not yet updated) |
| 17 | +* [Generative Adversarial Network](11_gan.ipynb) (not yet updated) |
18 | 18 |
|
19 | 19 | ## Installation
|
20 | 20 | Install the requirements.
|
|
0 commit comments