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In this repository, I am going to predict the image using the pre-trained ResNet50 modules. ResNet-50 is a convolutional neural network that is 50 layers deep. ResNet50 is a pretrained version of the network trained on more than a million images from the ImageNet database.

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ThinamXx/ImagePrediction_with_ResNet50

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Image Prediction

ResNet50

  • ResNet-50 is a convolutional neural network that is 50 layers deep. You can load a pretrained version of the network trained on more than a million images from the ImageNet database. The pretrained network can classify images into 1000 object categories, such as keyboard, mouse, pencil, and many animals.

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  • In this Project, I have used ResNet50 to predict the Image. It's a simple project on Image Prediction.

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In this repository, I am going to predict the image using the pre-trained ResNet50 modules. ResNet-50 is a convolutional neural network that is 50 layers deep. ResNet50 is a pretrained version of the network trained on more than a million images from the ImageNet database.

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