I'm currently training a CNN + multiple target regression model that does the following input: $ \dim x = (L, 2), \text{where} \ x_i \in (-0.1, 0.1) $ output: $\dim y = (M), \text{where} \ y_i \geq 0, y_{i-1} \leq y_i$ with $10< L, M < 100$ The basic architecture is (each step with ReLU activation) : input $\rightarrow$ CNN1(3x2) $\rightarrow$ maxpool(2x2) $\rightarrow$ CNN2(3x2) $\rightarrow$ maxpool(2x2) $\rightarrow$ flatten $\rightarrow$...
Originally asked by RLLL on Stack Exchange (ai) (CC BY-SA 4.0).
