https://github.com/yusugomori/deeplearning-tf2

Deep learning model zoo with TensorFlow 2.X (& Keras)
https://github.com/yusugomori/deeplearning-tf2

deep-learning keras tensorflow tensorflow2

Last synced: 9 days ago
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Deep learning model zoo with TensorFlow 2.X (& Keras)

• Host: GitHub
• URL: https://github.com/yusugomori/deeplearning-tf2
• Owner: yusugomori
• Created: 2019-02-07T03:02:08.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-12-10T06:33:21.000Z (almost 4 years ago)
• Last Synced: 2024-08-01T03:14:41.638Z (3 months ago)
• Topics: deep-learning, keras, tensorflow, tensorflow2
• Language: Python
• Homepage:
• Size: 57.6 KB
• Stars: 134
• Watchers: 13
• Forks: 27
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-tensorflow-2 - Deep Learning with TensorFlow 2.X (& Keras)
• Awesome-Tensorflow2 - yusugomori/deeplearning-tf2

README

        
# Deep Learning with TensorFlow 2.X

Implementations of neural network models with tf (>=2.0)

See also implementations with PyTorch 1.0 [here](https://github.com/yusugomori/deeplearning-pytorch).

## Requirements

* TensorFlow >= 2.0

```shell

$ pip install tensorflow

```

## Models

* Logistic Regression

* MLP

* LeNet

* ResNet (ResNet34, ResNet50)

* DenseNet (DenseNet121)

* Encoder-Decoder (LSTM)

* EncoderDecoder (Attention)

* Transformer

* Deep Q-Network

* Variational Autoencoder

* Generative Adversarial Network

```

models/

├── densenet121_cifar10_beginner.py

├── dqn_cartpole.py

├── encoder_decoder_attention.py

├── encoder_decoder_lstm.py

├── gan_fashion_mnist.py

├── lenet_mnist.py

├── lenet_mnist_beginner.py

├── logistic_regression_mnist.py

├── logistic_regression_mnist_beginner.py

├── mlp_mnist.py

├── mlp_mnist_beginner.py

├── resnet34_fashion_mnist.py

├── resnet34_fashion_mnist_beginner.py

├── resnet50_fashion_mnist.py

├── resnet50_fashion_mnist_beginner.py

├── transformer.py

├── vae_fashion_mnist.py

│

└── layers/

    ├── Attention.py

    ├── DotProductAttention.py

    ├── LayerNormalization.py

    ├── MultiHeadAttention.py

    ├── PositionalEncoding.py

    └── ScaledDotProductAttention.py

```

*_beginner.py is the file using only Keras.