TensorFlow Playground
playground.tensorflow.org
A browser-based neural network visualiser: choose a dataset, add layers and neurons, then watch the network learn in real time.
TensorFlow Playground is an interactive visualisation of a small neural network. You choose a dataset, decide which input features to feed in, add hidden layers and neurons, and press play to watch the network learn in real time, with the decision boundary updating as it trains.
You can change the learning rate, activation function, regularisation and noise to see how each affects the result. The page includes short explanations of what the colours and line thicknesses mean. It is meant for learning, not real workloads: the networks are tiny, but that is what makes the effect of each setting easy to see.
Why it is useful
A very clear way to build intuition about how neural networks work. Changing the features, layers or learning rate and seeing the effect straight away teaches more than a diagram. It needs no account.
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