https://github.com/peddybeats/deeplearning

A collection of common toy DL tasks implemented with Tensorflow 2.0
https://github.com/peddybeats/deeplearning

Last synced: about 2 months ago
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A collection of common toy DL tasks implemented with Tensorflow 2.0

• Host: GitHub
• URL: https://github.com/peddybeats/deeplearning
• Owner: peddybeats
• Created: 2018-09-10T14:52:04.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2023-03-24T22:52:18.000Z (almost 2 years ago)
• Last Synced: 2024-11-19T20:48:12.585Z (2 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 3.55 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Deep Learning with Tensorflow 2.0

A small collection of very basic learning tasks implemented with TF 2.0. 

Feel free to file an issue if you'd like to see new tasks added, or send pull requests to contribute.

## Vision

* [MNIST: Simple feed-forward network](0-mnist/mnist.ipynb)

* [CatvDog: Model with 4 convolutional-maxpooling blocks + data augmentation](4-cat-v-dog/convnet_data_aug.ipynb)

* [CatvDog: Using VGG pre-trained model (feature extraction)](4-cat-v-dog/vgg_16.ipynb)

* [CatvDog: Transfer learning (fine-tuning) using VGG pre-trained model (to be converted to notebook)](4-cat-v-dog/vgg-16-augmented.py)

## NLP

* [Reuters Multiclass: FF netowrk with one-hot encoding](2-reuters/simple_multi_class.ipynb)

* [IMDB Sentiment: FF network with one-hot encoding](1-imdb-binary-classification/one_hot.ipynb)

* [IMDB Sentiment: FF network with embedding layer](1-imdb-binary-classification/basic_embedding.ipynb)

* [IMDB Sentiment: FF network using GloVe pre-trained embedding](1-imdb-binary-classification/glove_embedding.ipynb)

* [IMDB Sentiment: LSTM model](1-imdb-binary-classification/lstm.ipynb)

## Regression

* [Boston Housing Prices: Simple FF model](3-housing-prices/simple_regression.ipynb)

* [Temperature Prediction: Bidirectional GRU model](5-temperature-forecast/bidir_gru.py)

## Misc

* [Deep Dream](6-misc-examples/deep_dream.ipynb)

* [Gatys Style Transfer](6-misc-examples/gatys_style_transfer.ipynb)

* [Variational Autoencoder](6-misc-examples/VAE.ipynb)

* [LSTM Text Generation](6-misc-examples/lstm_text_gen.ipynb)

* [Transfer Learning](6-misc-examples/transfer_learning.ipynb)

## Tensorflow Tutorials 

* [A whirlwind introduction to Tensorflow 2.0](7-tf-tutorials/basic_tutorial.ipynb)