Alpha version release

Features included:

• Models:
  • Sequential
• Layers:
  • Dense
  • ProbabilisticDense
  • Conv2D
• Activations:
  • Relu
  • Softmax
• Optimizers:
  • SGD (with momentum)
  • Adam
• Losses:
  • Mean Squared Error
  • Binary Crossentropy
  • Categorical Crossentropy
  • Variational
• Datasets:
  • MNIST
• Examples:
  • Simple classification
  • Simple regression
  • Simple probabilistic classification
  • Simple probabilistic regression
  • MNIST classification