Machine Learning, Neural Networks, TensorFlow, Pca.
input/output equality also makes the learning unsupervised. Let’s go! First, generate the data sample. Each row represents a single sample of 4D vector, each column represents a single vector component. import numpy as np def mvn_rand(mu_delta, dims=4): mu = np.random.random_sample(dims) + mu_delta