Quickly iterating through multiple microservicces

Implement Principal Component Analysis for classification and use it to recognise hand-written digits from the MNIST dataset.

Implemented Principal Component Analysis and regenerate Figures 12.3, 12.4 and 12.5 from Bishop's book.

Implemented the backpropagation algorithm for MLP training and regenerated Figure 5.3 from Bishop's book.

Implementation of a multiclass Logistic Regression classifier and train it using SGD to recognize hand-written digits from the MNIST dataset.

Implementation of a binary Logistic Regression classifier and train it using the IRLS algorithm to recognize hand-written digits for 2 classes from the MNIST dataset.

Implementation of Convolutional Neural Network for classification and train it to recognize hand-written digits from the MNIST dataset.