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Codes / Projects \u003ca name=\"sample\" /\u003e ⛏️📐📁","Tutorials 💛💛💛💛💛\u003ca name=\"github-tutorials\" /\u003e"],"sub_categories":["General 🚧 \u003ca name=\"GeneralCode\" /\u003e"],"readme":"# Deep Learning with TensorFlow 2.X\n\nImplementations of neural network models with tf (\u003e=2.0)\n\nSee also implementations with PyTorch 1.0 [here](https://github.com/yusugomori/deeplearning-pytorch).\n\n## Requirements\n\n* TensorFlow \u003e= 2.0\n\n```shell\n$ pip install tensorflow\n```\n\n## Models\n\n* Logistic Regression\n* MLP\n* LeNet\n* ResNet (ResNet34, ResNet50)\n* DenseNet (DenseNet121)\n* Encoder-Decoder (LSTM)\n* EncoderDecoder (Attention)\n* Transformer\n* Deep Q-Network\n* Variational Autoencoder\n* Generative Adversarial Network\n\n```\nmodels/\n├── densenet121_cifar10_beginner.py\n├── dqn_cartpole.py\n├── encoder_decoder_attention.py\n├── encoder_decoder_lstm.py\n├── gan_fashion_mnist.py\n├── lenet_mnist.py\n├── lenet_mnist_beginner.py\n├── logistic_regression_mnist.py\n├── logistic_regression_mnist_beginner.py\n├── mlp_mnist.py\n├── mlp_mnist_beginner.py\n├── resnet34_fashion_mnist.py\n├── resnet34_fashion_mnist_beginner.py\n├── resnet50_fashion_mnist.py\n├── resnet50_fashion_mnist_beginner.py\n├── transformer.py\n├── vae_fashion_mnist.py\n│\n└── layers/\n    ├── Attention.py\n    ├── DotProductAttention.py\n    ├── LayerNormalization.py\n    ├── MultiHeadAttention.py\n    ├── PositionalEncoding.py\n    └── ScaledDotProductAttention.py\n```\n\n*_beginner.py is the file using only Keras.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyusugomori%2Fdeeplearning-tf2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyusugomori%2Fdeeplearning-tf2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyusugomori%2Fdeeplearning-tf2/lists"}