dropout practical implementation in pytorch interpreting the business outcomes for deep learning summary convolutional neural networks convolution operation pooling operation convolution-detector-pooling building block stride padding batch normalization filter filter depth number of filters summarizing key learnings from cnns implementing basic cnn using pytorch implementing larger cnn in pytorch cnn thumb rules summary recurrent neural networks introduction to rnns training rnns bidirectional rnns vanishing and exploding gradients gradient clipping vi