regularization
23
Mar
Numerous Reasons for a Neural Network to go Wrong
How many times it has happened that you create a neural network, put it for training which takes more than half to sometimes full day or even days to train. But, then you find out that you did something wrong that the model starts outputting garbage. Where do you turn to then??? Whom do you […]
01
Nov
Types of Autoencoders
Tags:
AI,
artificial intelligence,
autoencoder,
autoencoders,
contractive autoencoders,
deep learning,
denoising autoencoders,
dimensionality,
Dimensionality Reduction,
machine learning,
ML,
overcomplete autoencoders,
reconstruction error,
reconstruction penalty,
regularization,
regularizer,
sparse autoencoders,
The curse of dimensionality,
types of autoencoders,
undercomplete autoencoders,