Anomaly Detection with AutoEncoders using Tensorflow
#datascience #machinelearning #neuralnetworks
Link to detailed introduction on AutoEncoders - • Autoencoder Explained - Deep Neural N...
An autoencoder is a neural network that learns to copy its input to its output
An Autoencoder can be divided into two parts: the encoder and the decoder. The encoder is a mapping from the input space into a lower dimensional latent space (bottle neck layer).
In this video we will see how we can build an autoencoder from scratch using tesnorflow and python