Feat: Updated docs

[sourcepirate]

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[Copilot]

Pull request overview

This PR expands Neutro well beyond documentation updates by adding a Keras-style Functional API, symbolic graph execution, MIMO training/evaluation support, shared-layer handling, new merge layers, related tests/examples, and a broad documentation refresh.

Changes:

• Adds KerasTensor/Node, Input, Functional Model(inputs, outputs), graph forward/backward, and MIMO fit/evaluate support.
• Adds new merge layers and shape inference updates across several layers.
• Adds Functional API examples/tests and rewrites/adds many documentation pages.

Reviewed changes

Copilot reviewed 50 out of 51 changed files in this pull request and generated 11 comments.

Show a summary per file

File	Description
pyproject.toml	Bumps package/Python/dependency versions.
neutro/models/base_model.py	Adds Functional API graph execution, MIMO training/evaluation, nested model support, and summary updates.
neutro/models/vision/unet.py	Adds a minimal build override.
neutro/layers/base.py	Adds symbolic/eager dispatch and inbound node tracking.
neutro/engine/node.py	Adds symbolic tensor and graph node primitives.
neutro/engine/__init__.py	Engine package placeholder.
neutro/layers/core/input_layer.py	Adds Input() and InputLayer.
neutro/layers/core/merging.py	Adds/updates merge layers and shape inference.
neutro/layers/core/dense.py	Adds debug comment in build path.
neutro/layers/core/moe.py	Adds output shape inference.
neutro/layers/core/reparameterization.py	Adds output shape inference.
neutro/layers/convolutional/conv1d.py	Adds **kwargs passthrough.
neutro/layers/normalization/layernorm.py	Adds **kwargs passthrough.
neutro/layers/recurrent/simple_rnn.py	Adds **kwargs passthrough.
neutro/layers/embedding/time_embedding.py	Adds output shape inference.
neutro/layers/attention/flash_attention.py	Adds **kwargs passthrough and output shape inference.
neutro/layers/attention/mla.py	Adds output shape inference.
neutro/layers/transformer/transformer_block.py	Adds output shape inference.
neutro/layers/__init__.py	Exports Input and new merge layers.
neutro/__init__.py	Exposes Input at package top level.
tests/test_functional_api.py	Adds Functional API tests.
tests/test_mimo_fit.py	Adds MIMO fit/evaluate tests.
tests/test_shared_transformer_block.py	Adds shared TransformerBlock tests.
examples/README.md	Documents the new Functional MNIST example.
examples/mnist_functional_residual.py	Adds Functional API residual MNIST example.
docs/activations/activations.md	Adds activation documentation.
docs/callbacks/callbacks.md	Adds callback documentation.
docs/data/data.md	Adds data loader documentation.
docs/engine/node.md	Documents symbolic graph internals.
docs/initializers/initializers.md	Adds initializer documentation.
docs/layers/attention/kv_cache.md	Adds KV cache documentation.
docs/layers/attention/mla.md	Adds MLA documentation.
docs/layers/base.md	Documents base layer lifecycle and symbolic calls.
docs/layers/core/core_utility_layers.md	Adds core utility layer docs.
docs/layers/core/dense.md	Adds Dense layer docs.
docs/layers/core/input_layer.md	Documents Input/InputLayer.
docs/layers/core/merging.md	Documents merge layers.
docs/layers/embedding/embedding.md	Adds embedding layer docs.
docs/layers/normalization/normalization.md	Adds normalization docs.
docs/layers/pooling/pooling.md	Adds pooling docs.
docs/layers/recurrent/recurrent.md	Adds recurrent layer docs.
docs/layers/transformer/transformer_block.md	Adds TransformerBlock docs.
docs/losses/losses.md	Adds loss documentation.
docs/metrics/metrics.md	Adds metric documentation.
docs/models/language_models.md	Adds language model docs.
docs/models/model.md	Expands Model/Sequential/Functional API docs.
docs/models/vision_models.md	Adds vision model docs.
docs/optimizers/optimizers.md	Adds optimizer documentation.
docs/preprocessing/preprocessing.md	Adds preprocessing docs.
docs/tokenizers/tokenizers.md	Adds tokenizer docs.
docs/utils/utils.md	Adds utility docs.

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[sourcepirate]

@copilot Fix the review comments.

[Copilot]

@copilot Fix the review comments.

Addressed in commit 4cd5642. I fixed the doc formatting/source-reference issues, corrected the Minimum docstring, aligned the DataLoader docs with the actual API, fixed shared composite-layer gradient accumulation in functional backward, and added the missing finite-difference assertion in the functional API test.