I am going to just forget all the countries that are still on GSM. Let's say we have 5G right now.
1) The theoretical speed is one thing, the real one is another one.
2) There is more than one node connected to the network
3) TCP needs some package interchange to increase the window size
4) Latency with the server where the page is hosted is not going to be 1ms, you are lucky if it is around 20ms.
5) Serves have more RAM because they use better CPUs, it means they are more expensive.
6) Who connects to websites nowadays? Mobile is the way to go now (It means slower CPUs, less RAM, less power consumption, etc)
7) Why are you going to transfer a complete netural network instead of sending the data to the server. The data is going to be smaller than the network and you avoid the risk of someone cloning the neural network for their web site.
8) There are no useful applications in web sites for neural networks. It is a non sense for me (please probe me wrong and show me an use case where it makes sense)
7) Why are you going to transfer a complete netural network instead of sending the data to the server.
Privacy is one reason I can think of. By running the trained network locally I can benefit from it without sharing all my data with the company serving it.
Data size is another reason. If I want to categorize 50GB of images using a 300MB model it makes a lot more sense to download the model than upload the data.
8) There are no useful applications in web sites for neural networks.
I admit that I haven't got a clue how these things will be useful. If I did then I'd have started a business to implement it already. My lack of insight isn't a good reason to suggest they'll never be useful though.
> Data size is another reason. If I want to categorize 50GB of images using a 300MB model it makes a lot more sense to download the model than upload the data.
The faster the network is the more reasons you have to upload your data. The time to process an image in the cloud is going to be virtually 0 with small latency as the resources in the cloud are huge compared with what you can have at home.
1) The theoretical speed is one thing, the real one is another one.
2) There is more than one node connected to the network
3) TCP needs some package interchange to increase the window size
4) Latency with the server where the page is hosted is not going to be 1ms, you are lucky if it is around 20ms.
5) Serves have more RAM because they use better CPUs, it means they are more expensive.
6) Who connects to websites nowadays? Mobile is the way to go now (It means slower CPUs, less RAM, less power consumption, etc)
7) Why are you going to transfer a complete netural network instead of sending the data to the server. The data is going to be smaller than the network and you avoid the risk of someone cloning the neural network for their web site.
8) There are no useful applications in web sites for neural networks. It is a non sense for me (please probe me wrong and show me an use case where it makes sense)