Quant, Finance, Machine Learning, AI, TensorFlow.
tape.gradient(loss, [p1, mu1, scal1, mu2, scal2]) optimizer.apply_gradients(zip(gradients, [p1, mu1, scal1, mu2, scal2])) Figure 5: Trained distributions by TFP. The blue represents the mixture model which captures the data. The red and green represents the two gaussian distributions trained by