generative models Archives

Computer Vision, Deep Learning, TensorFlow

Implement Non-linear Independent Components Estimation with Tensorflow

Posted on June 1, 2021 by Sandeep Kumar

Non-linear Independent Components Estimation is a normalizing flow-based generative model which is used to learn the probability distribution of the real samples and then generate the new sample data. This algorithm can be categorized as generative models as GAN and VAE but using a different approac...

Deep Learning, Machine Learning, TensorFlow

How to Program Generative Adversarial Network with Tensorflow 2.0

Posted on April 27, 2021 by Sandeep Kumar

This guide is a hands-on tutorial to program a generative adversarial network with TensorFlow 2.0 to generate new data using the past data. We need to train two networks, Generator, and Discriminator, using alternative approach where for each batch, we train the discriminator first such that it iden...

Deep Learning, Machine Learning

Basics of Generative Adversarial Network Model

Posted on April 10, 2021 by Sandeep Kumar

Generative Adversarial Network a.k.a GANs is a generative model which is used to generate new samples using training data. The output samples are similar to the training data but not exactly the same as our goal is to generate more diverse data from what we already have. Goal of GANs The distributio...

Deep Learning

Understanding Generative Models and Applications

Posted on April 5, 2021 by Sandeep Kumar

Generative Models are a form of unsupervised learning models and the outcome goal is to generate new data points by understanding underlying distributions of data points in the dataset. After the deep learning revolution, Generative models are very popular and widely used in applications and researc...