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examples of image classification using Keras+ Tensorflow 2.0 and PyTorch

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Image-Classifier for Tensorflow

To implement the notebooks using Keras + Tensorflow 2.0, such as

InceptionV3.ipynb, VGG_ResNet50.ipynb, MobileNet.ipynb,

the image data is required so that it must be uploaded and located in the 'images' directory.

!git clone https://github.com/mashyko/Image-Classifier/ and just run the notebooks,

Image Classification for Pytorch

pytorch_AlexNet.ipynb, image_classifier_vgg_pytorch.ipynb, Cifar_pytorch.ipynb,and alex_cifar10.ipynb

just run the notebook on the Google Colab.

Transfer learning or Fine tuning codes for Pytorch

transfer_learning_resnet.ipynb, transfer_learning_vgg.ipynb, torchvision_finetuning_Mask_R-CNN.ipynb, and finetuning_torchvision_models_tutorial.ipynb

just run the notebook on the Google Colab. notebooks above are supposed to load data online.

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