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74 symbols 166 edges 12 files 14 documented · 19%
What it actually does AI analysis from the code graph — generated when you open this
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Core symbols most depended-on inside this repo

error
called by 4
nnet/neuralnetwork.py
fprop
called by 4
nnet/layers.py
fit
called by 3
nnet/neuralnetwork.py
_setup
called by 2
nnet/neuralnetwork.py
_loss
called by 2
nnet/neuralnetwork.py
bprop
called by 2
nnet/layers.py
input_grad
called by 2
nnet/layers.py
params
called by 2
nnet/layers.py

Shape

Method 50
Function 14
Class 10

Languages

Python100%

Modules by API surface

nnet/layers.py32 symbols
nnet/convnet/layers.py18 symbols
nnet/neuralnetwork.py10 symbols
nnet/helpers.py8 symbols
setup.py1 symbols
nnet/convnet/test_pool.py1 symbols
nnet/convnet/test_conv.py1 symbols
examples/mlp_mnist.py1 symbols
examples/mlp.py1 symbols
examples/cnn_mnist.py1 symbols

For agents

$ claude mcp add nnet \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact