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. VirtualDatasets
  • 3.9. Plotting
  • 3.10. Plotting in 3D
  • 3.11. Autoencoding
  • 3.12. Alice in Wonderland
  • 3.13. Predicting and Generating Texts
  • 3.14. Recommending Movies
  • 3.15. LSTM - Long Short Term Memory
  • 3.16. Activation Functions
  • 3.17. Gridfonts
  • 3.18. Working with Camera and Networks
  • 3.19. Robot Simulation
  • 3.20. Extrapolation, 1
  • 3.21. Vision Quest
  • 3.22. Experiments
  • 3.23. Making Movies
  • 3.24. PCA
  • 3.25. Two Spirals
  • 3.26. VGG16 and ImageNet
• 4. conx
  • 4.1. conx package

Index and Search

• Index
• Search Page