Neural Flow

AI Playground

ChatToken ViewerEmbeddingsAttentionReasoningOutput

AI Models

Models

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Visualizations

Interactive neural architecture playgrounds. Hover to preview, click to explore.

Interactivity
multi-head attention

Transformer

Multi-head self-attention driving modern generative AI.

Introduced

2017

Layers

6-12+

Params

100M+

AttentionSelf-AttentionPositional Encoding

Neural Network

Fully connected layers with backpropagation and activation flows.

Layers

3

Weights

35

Biases

8

MLPActivationsBackpropagation
→ feat map

CNN

Convolutional filters scanning for spatial hierarchies.

Introduced

1989

Kernel

3×3

Stride

1 / 2

ConvolutionPoolingFeature Maps
hhhh

RNN

Sequential memory through hidden state recurrence and gates.

Introduced

1986

Steps

4

Hidden

128

LSTMGRUSequence
GeneratorDiscriminator

GAN

Adversarial training where G and D compete, improving together.

Introduced

2014

Loss

BCE

Latent

100

GeneratorDiscriminatorAdversarial
t=4t=3t=2t=1t=0

Diffusion

Iterative denoising from pure noise to structured output.

Steps

10

Grid

8×8

Noise

Gaussian

DenoisingSamplingLatent Space