Machine Learning, Python, Towards Data Science, Dimensionality Reduction, Data Visualization.
batch_generator(self.features): self.encoder['weights'], self.encoder['bias'], _ = session.run([encoder_weights, encoder_bias, optimizer], feed_dict={X: batch_x}) Nothing special in here, code is pretty self explanatory and we save our encoders weights in biases, so we could reduce the data in the