v0.0.11

Improve

• Add breaker (means 'breakout') reinforcement environment
• Split file of neuralnetwork layers
• Add neuralnetwork layers (ELU, PReLU and Softargmax)
• Add hyperparameter of softplus layer
• Improve softmax layer
• Add functions (removeRowIf, removeColIf, every and some) in Matrix class

Breaking change

• Remove polynomial layer (which is same as power layer)

Bug fix

• Binary operations and cholesky decomposition of Matrix does not returns correct result
• LU decomposition returns only one value when the Matrix size is zero
• Return value of toArray in Matrix class contains empty value which means 0
• reduce returns incorrect result when the type of initial value is boolean
• Gradient of many layers is incorrect