struct ContentView: View {
@State var predictions: [MLResult]
var body: some View {
ScrollView {
LazyVGrid(columns) {
ForEach(predictions)
}
}
}
}
import torch
from transformers import AutoModel
class SentimentNet(nn.Module):
def forward(self, x):
h = self.encoder(x)
return self.classifier(h)
σ(z) = 1 / (1 + e−z)
∇θJ(θ) = E[∇log πθ]
L = −Σ y·log(ŷ)
f(x) = ReLU(Wx + b)
accuracy
0.94
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Swift & SwiftUI
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SwiftSwiftUIUIKitCombineCoreData
FirebaseARKitWidgetKitPythonPandas
Scikit-LearnTensorFlowPyTorchSQLR
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SwiftSwiftUIUIKitCombineCoreData
FirebaseARKitWidgetKitPythonPandas
Scikit-LearnTensorFlowPyTorchSQLR
XcodeCocoaPodsSPMREST APIsMapKit
