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TikZ Neural Network Generator — Visual Deep Learning Architecture Maker

Design publication-ready deep learning architectures with visual node and layer controls: MLPs with skip connections, 3D CNN feature map cuboids, Multi-Head Attention blocks, and LSTM cells.

What is the TikZ Neural Network Generator?

IhateLaTeX runs entirely in your browser via a WebAssembly pdfTeX engine — no servers, no sign-up, no uploads. Every tool below is 100% free with unlimited use. The Neural Network Generator produces clean, idiomatic LaTeX TikZ code with named styles and layer alignments for your machine learning papers.

Key Features of the TikZ Neural Network Generator

Multi-Layer Perceptron (MLP)

Configurable input, hidden, and output neurons with activation labels and residual skip connections.

3D CNN Feature Maps

Isometric volumetric feature cuboids showing Conv2D, MaxPool, and dense layer projections.

Transformer Attention Blocks

Multi-Head Attention, Scaled Dot-Product, Positional Encodings, and Add & LayerNorm stacks.

U-Net & Autoencoders

Contracting and expansive convolutional pathways with horizontal skip concatenation.

Publication Color Themes

IEEE Grayscale, Modern AI Indigo, Brand Blue, and High-Contrast palettes.

Multi-Format Export

Copy pure TikZ snippets, standalone compilable documents, lossless SVGs, or 300 DPI PNGs.

How to Use It (Step by Step)

  1. Choose your architecture: MLP, 3D CNN, Transformer, U-Net, or LSTM.
  2. Adjust layers, neuron counts, activations, and skip connections.
  3. Preview the vector geometry rendered live in your browser.
  4. Select your publication theme (IEEE Grayscale, AI Indigo, Brand Blue).
  5. Copy the TikZ code or download the standalone .tex file.

Frequently Asked Questions

How do I draw a neural network in LaTeX with TikZ?

Select the MLP or Transformer architecture in the studio, customize neuron counts and layer labels, and click Copy TikZ Code to paste directly into Overleaf or TeXstudio.

Can I generate 3D CNN feature map diagrams?

Yes. The 3D CNN generator produces isometric feature cuboids with dimension tags (e.g. 224x224x3, 112x112x64) and receptive field projection lines.

Is this tool free and private?

Yes, 100% free and client-side. Unpublished model architectures stay strictly on your local machine.

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