Archives for encoder
Image Generation is one of the most curious applications in Computer Vision. Variational Autoencoders and GANs are the preferred base models
The post Getting Started With Image Generation Using TensorFlow Keras appeared first on Analytics India Magazine.
LSTM autoencoder is an encoder that makes use of LSTM encoder-decoder architecture to compress data using an encoder and decode it to retain original structure using a decoder.
The post Introduction to LSTM Autoencoder Using Keras appeared first on Analytics India Magazine.
With security being regarded as the most important factor in any organisation and is also a matter of grave concern, biometric authentication systems are the most reliable when it comes to verifying a person’s identity. In the article, we will cover in brief how Aditya Sharma reconstructed fingerprints using convolutional autoencoders. Biometrics are usually classified…
The post The Recreation Of Fingerprints Images With Convolutional Autoencoders appeared first on Analytics India Magazine.
Variational Autoencoders (VAE) came into limelight when they were used to obtain state-of-the-art results in image recognition and reinforcement learning. VAEs consist of encoder and decoder network, the techniques of which are widely used in generative models. Encoders can be seen in CNNs too, they convert an image into a smaller dense representation which is…
The post How Variational Autoencoders Can Flourish In Any Machine Learning Setting appeared first on Analytics India Magazine.