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No, the equivalent in neural networks is a network which is trained to always output "Hello, world!", and I dare say that such a network would be pretty hard to
by Klockan 10y ago
No, the equivalent in neural networks is a network which is trained to always output "Hello, world!", and I dare say that such a network would be pretty hard to reason about compared to the python equivalent.
- rwallace 10y agoActually, the minimal neural network that always outputs that string would basically have a weight vector equivalent to the ASCII coding of the string, so it would be equally easy to reason about compared to the Python equivalent.
- Klockan 10y agoYou are comparing apples to oranges. The python line is a good representation of a part of a larger program, while the neural network you are talking about is not a good representation of any part of a larger neural network. You wont get that solution if you train it normally without knowing how to solve the problem yourself. Try setting up a network with 3 layers of nodes and 120 nodes in each layer and train it to output "Hello, world!" using a standard training method, you wont get something easily comprehensible from that.