DEEP LEARNING
Neural Networks
Build and compare neural network architectures: choose layers, activations, and optimizers. Watch training live, compare networks side-by-si…
ArchitectureActivationsTrainCompare
Visualize neural network architectures, backpropagation, CNNs, LSTMs, attention mechanisms, and training dynamics — step by step, parameter by parameter.
Build and compare neural network architectures: choose layers, activations, and optimizers. Watch training live, compare networks side-by-si…
Compare ReLU, Sigmoid, Tanh, Swish, GELU, and Leaky ReLU: visualize saturation zones, derivative curves, dead neuron detection, and gradient…
Step through the chain rule computation, visualize vanishing and exploding gradients, compare SGD, Adam, and RMSProp convergence, and see ho…
Live regularization experiments: Dropout rate effects, Batch Normalization behavior, L1/L2 weight penalty comparison, and Early Stopping wit…
Interactive CNN visualizer: apply convolution kernels to images, watch feature maps emerge, compare max and avg pooling, and understand rece…
Simulate RNN, LSTM, and GRU cell operations step-by-step: visualize forget, input, and output gate activations, memory cell state, and seque…
Interactive attention mechanism explorer: compute self-attention QKV matrices step-by-step, visualize multi-head attention weight heatmaps, …
Compare optimizer trajectories on loss landscapes, experiment with learning rate schedules — cosine, step, exponential — and measure batch s…