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  1. I am pleased to update the AlexNet and its variants to adapt to TensorFlow 2.0/2.1/2.2/2.3. Since the original script of myalexnet_forward written by the AlexNet team was build on TensorFlow 1.x in…

    Jupyter Notebook 13 6

  2. Make the classical Inception v1~v4, Xception v1 and Inception ResNet v2 models in TensorFlow 2.3 and Keras 2.4.3. Rebuild the 6 models with the style of linear algebra, including matrix components …

    Jupyter Notebook 5 1

  3. Make the necessary changes to adapt to the environment of TensorFlow 2.3, Keras 2.4.3, CUDA Toolkit 11.0, cuDNN 8.0.1 and CUDA 450.57. In addition, write the new lines of code to replace the deprec…

    Jupyter Notebook 1

  4. LSTM-TF2 Public

    The new trend is that the CNN models are merging with the sequence models such as RNN and LSTM. NASNet is a typical example. LSTM will be merging with the CNN models to propel the deep learning dev…

    Jupyter Notebook

  5. Make the necessary modifications on the DenseNet and make it adapt to the new environment of TensorFlow 2.3, Keras 2.4.3.

    Python

  6. Forked from jinfagang/keras_frcnn

    Implementation of faster_rcnn for TensorFlow 2.3 and Keras 2.4

    Python 1

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March 2022

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