conx
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Contents:

  • 1. Conx Neural Networks
  • 2. Getting Started with Conx
  • 3. Examples
  • 4. conx
conx
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  • Conx documentation
  • Edit on GitHub

Conx documentation¶

Contents:

  • 1. Conx Neural Networks
    • 1.1. The On-Ramp to Deep Learning
    • 1.2. Examples
    • 1.3. Installation
  • 2. Getting Started with Conx
    • 2.1. What is conx?
    • 2.2. A Simple Network
    • 2.3. conx options
  • 3. Examples
    • 3.1. Learning
    • 3.2. XOR Multiple Inputs/Targets
    • 3.3. The MNIST Dataset
    • 3.4. Face Recognition
    • 3.5. CIFAR10 CNN
    • 3.6. Auto-encoder with Conv2D
    • 3.7. Datasets
    • 3.8. Plotting
    • 3.9. Plotting in 3D
    • 3.10. Autoencoding
    • 3.11. Alice in Wonderland
    • 3.12. Predicting and Generating Texts
    • 3.13. Recommending Movies
    • 3.14. LSTM - Long Short Term Memory
    • 3.15. Activation Functions
    • 3.16. Gridfonts
    • 3.17. Working with Camera and Networks
    • 3.18. Robot Simulation
    • 3.19. Extrapolation, 1
    • 3.20. Vision Quest
    • 3.21. Experiments
    • 3.22. Making Movies
    • 3.23. PCA
    • 3.24. Utilities
    • 3.25. Two Spirals
  • 4. conx
    • 4.1. conx package

Index and Search¶

  • Index
  • Search Page
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