RNN权重、梯度和激活可视化
Weights, gradients, activations visualization
Kernel visuals: kernel, recurrent kernel, and bias shown explicitly
Gate visuals: gates in gated architectures (LSTM, GRU) shown explicitly
Channel visuals: cell units (feature extractors) shown explicitly
General visuals: methods also applicable to CNNs & others
Weight norm tracking: useful for analyzing weight decay