Autoencoders are a type ofneural networkused in deep learning to learn efficient, lower-dimensional representations of input data, which are then used to reconstruct the original data. By doing so, this network learns the most essential features of the data during training without requiring explici...
An autoencoder is a neural network trained to efficiently compress input data down to essential features and reconstruct it from the compressed representation.
What Does Autoencoder Mean? An autoencoder (AE) is a specific kind of unsupervised artificial neural network that provides compression and other functionality in the field of machine learning. The specific use of the autoencoder is to use a feedforward approach to reconstitute an output from an...
What is an autoencoder? Autoencoders are a type of generative model used for unsupervised learning. Autoencoders learn some latent representation of the image and use that to reconstruct the image. What is this “latent representation”? It is another fancy term for hidden features of the ...
What Is a Deepfake? A deepfake is an elaborate form of synthetic media that uses AI andmachine learning (ML)techniques to fabricate or manipulate audio, video, or images that appear convincingly real. The term “deepfake” derives from blending “deep learning” and “fake” to reflect using ...
What Is A Deepfake? Deepfake Definition Deepfake is a form ofartificial intelligence(AI) that can be used to create convincing hoax images, sounds, and videos. The term "deepfake" combines the deep learning concept with something fake. Deepfake compiles hoaxed images and sounds and stitches them...
Using compressed versions of themselves, an autoencoder is a form of neural network that can learn to recreate images, text, and other types of input. Typically, an autoencoder has three layers ? Encoder Code Decoder The encoder layer converts the input image into a latent space representatio...
A variational autoencoder (VAE) is one of several generative models that use deep learning to generate new content, detect anomalies and remove noise. VAEs first appeared in 2013, about the same time as other generative AI algorithms, such as generative adversarial networks (GANs) and ...
A sparse autoencoder is one of a range of types of autoencoder artificial neural networks that work on the principle of unsupervised machine learning. Autoencoders are a type of deep network that can be used for dimensionality reduction – and to reconstruct a model through backpropagation. Adve...
Gen AI, or Generative AI, is shorthand for a subset of artificial intelligence that focuses on creating new data rather than merely analyzing or classifying existing information. It uses deep learning models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) to generate...