const ai = new Model();
await model.train(data);
import torch
def forward(self, x):
npm run deploy
git push origin main
loss.backward()
SELECT * FROM neurons
docker build -t ai .
export default App;
fn main() -> Result<>
pipe = pipeline('text')
kubectl apply -f pod.yml
console.log('hello AI')
{ }
</>
Py
TS
JS
=>
AI
Go
Rs
C#
++
λ
∑
#!
>>
SQL
function predict(input) {
return model.run(input);
}
class NeuralNet:
def __init__(self):
self.layers = []
const config = {
epochs: 100,
lr: 0.001,
};
impl Transformer {
fn attention(&self)
-> Tensor { }
}
{ }
</>
( )=>

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