Google Cloud-managed network address translation. Cloud NAT, Google Cloud's managed network address translation service, enables you to provision application instances without public IP addresses while also allowing access to the internet in a controlled and efficient manner.
GoogLeNet is a convolutional neural network that is 22 layers deep. You can load a pretrained version of the network trained on either the ImageNet [1] or Places365 [2][3] data sets. The network trained on ImageNet classifies images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. The network trained on Places365 is similar to the network trained on ImageNet, but classifies images into 365 different place categories, such as field, park, runway, and lobby. These networks have learned different feature representations for a wide range of images. The pretrained networks both have an image input size of 224-by-224. For more pretrained networks in MATLAB®, see Pretrained Deep Neural Networks.
To classify new images using GoogLeNet, use classify. For an example, see Classify Image Using GoogLeNet.
You can retrain a GoogLeNet network to perform a new task using transfer learning. When performing transfer learning, the most common approach is to use networks pretrained on the ImageNet data set. If the new task is similar to classifying scenes, then using the network trained on Places-365 can give higher accuracies. For an example showing how to retrain GoogLeNet on a new classification task, see Train Deep Learning Network to Classify New Images
What’s the My Network app for? You can use My Network to:. See our 2G, 3G, 4G and 5G coverage. Simply tap the buttons below the map to switch between them. Check the network status in your location, by tapping the ‘Check’ button on the map. Receive news of any faults or maintenance in your area, by registering for ‘Keep Me Posted’ updates. Report a problem, if it's not. Google WiFi is just one of the many mesh Wi-Fi systems on the market, similar to Eero or Luma.Here’s how to set it up. Start by unboxing the Google WiFi units and grab one to use as your main unit that you’ll connect to your modem (or router, if you’re looking to keep the advanced features of your old router).
GoogLeNet is a convolutional neural network that is 22 layers deep. You can load a pretrained version of the network trained on either the ImageNet [1] or Places365 [2][3] data sets. The network trained on ImageNet classifies images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. The network trained on Places365 is similar to the network trained on ImageNet, but classifies images into 365 different place categories, such as field, park, runway, and lobby. These networks have learned different feature representations for a wide range of images. The pretrained networks both have an image input size of 224-by-224. For more pretrained networks in MATLAB®, see Pretrained Deep Neural Networks.
To classify new images using GoogLeNet, use classify. For an example, see Classify Image Using GoogLeNet.
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You can retrain a GoogLeNet network to perform a new task using transfer learning. When performing transfer learning, the most common approach is to use networks pretrained on the ImageNet data set. If the new task is similar to classifying scenes, then using the network trained on Places-365 can give higher accuracies. For an example showing how to retrain GoogLeNet on a new classification task, see Train Deep Learning Network to Classify New Images