Machine Learning, Neural Networks, TensorFlow, Pca.
sample plotted by taking only the first two components of each vector. Trust me, that’s far from the original. This can be fixed using Principal Component Analysis. PCA applies a linear transformation to find projection onto reduced space in a way that maximizes the sample variance. Here we look at