I did a research project on this a while back - and when it comes to understanding deep network learning rate, regularization, hidden layer effects, and activat

I did a research project on this a while back - and when it comes to understanding deep network learning rate, regularization, hidden layer effects, and activations, I don't think anything is better than [this little web app](https://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle&regDataset=reg-plane&learningRate=0.03&regularizationRate=0&noise=0&networkShape=4,2&seed=0.23187&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false https://playground.tensorflow.org/#activation=tanh&batchSize...)