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1. AlexNet_TensorFlow_2AlexNet_TensorFlow_2Public

   Update the AlexNet and its variants from small dataset to the 160GB+ ImageNet dataset to adapt to the need for really big data. With supporting both TensorFlow 2.10.0 and Keras 2.10.0, the update g…

   Jupyter Notebook 18 4

2. Inception-v1-v4-tf2Inception-v1-v4-tf2Public

   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 6 1

3. EfficientNet_TF2EfficientNet_TF2Public

   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. DenseNet_TF2DenseNet_TF2Public

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

   Python

5. keras_frcnn_tf2keras_frcnn_tf2Public

   Forked fromlucasjinreal/keras_frcnn

   Implementation of faster_rcnn for TensorFlow 2.4/Keras 2.4 and the above

   Python 1 1

6. Operating-SystemsOperating-SystemsPublic

   Operating System supports both kernel and user mode. Kernel mode allows unrestricted access to all machine resources, including all MPU instructions, and User mode operation sets limits on instruct…

   C 4