Conx documentation

Contents:

• 1. Conx Neural Networks
  • 1.1. Deep Learning for Simple Folk
  • 1.2. Example
  • 1.3. Install
  • 1.4. Examples
  • 1.5. Differences with Keras
• 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. Non-Linearly Separable
  • 3.3. XOR Multiple Inputs/Targets
  • 3.4. Activation Functions
  • 3.5. Comparison
  • 3.6. Datasets
  • 3.7. Autoencoding
  • 3.8. MNIST
  • 3.9. EmbeddingLayer
  • 3.10. LSTMLayer
  • 3.11. Many to Many LSTM
  • 3.12. Face Recognition
  • 3.13. LSTM
  • 3.14. CIFAR10 CNN
  • 3.15. Working with Keras
  • 3.16. Moving from Keras
  • 3.17. Working with Camera and Networks
  • 3.18. Plotting
  • 3.19. Robot Simulation
  • 3.20. Deep Dreams
  • 3.21. Auto-encoder with Conv2D
  • 3.22. Experiments
  • 3.23. Making Movies
  • 3.24. PCA
  • 3.25. Under the Hood
  • 3.26. Vision Quest
  • 3.27. Teaching a Robot to Move
  • 3.28. Network-Controlled Robot
• 4. conx
  • 4.1. conx package

Index and Search

• Index
• Search Page