- Layers:
- ProbabilisticConv2D
- Recurrent
- Dropout
- Model:
- Callbacks
- remove model build or refactoring
- Losses:
- variational_loss refactoring
- Documentation:
- Introduction
- Install
- Classes
- Examples:
- DQN
- Layers:
- Dense
- ProbabilisticDense
- Conv2D
- Activations:
- Relu
- Softmax
- Optimizers:
- SGD (with momentum)
- Adam
- Losses:
- Mean Squared Error
- Binary Crossentropy
- Categorical Crossentropy
- Variational
- Model fit:
- Training progress bar
- Validation split
- Examples:
- MNIST
- Package:
- Create setup.py
- Continuous integration (Travis-CI)
- Publish on pypi
- README:
- Code coverage badge
- Build badge
- License badge
- Python version badge