Generating new samples with Variational Autoencoders
KL Divergence (Dipesh Dai) Limitations of Autoencoder (Suruchi) Variational Autoencoder Basic Architecture of Variational Autoencoder (Rajan) Loss of VAE...
Recent Posts
Introduction to Autoencoder
Autoencoder Difference between generative and discriminative modelling Generative modelling Generative modelling is a statistical modeling technique that ...
Semantic Segmentation using U-Net
U-Net U-Net is a U-shaped encoder-decoder network architecture, which consists of four encoder blocks and four decoder blocks that are connected via bridge...
Ramer–Douglas–Peucker algorithm
The Problem When we were working on a satellite image of one of the local area of Nepal, we had to simplify the obtained mask to feed into the GIS system. I...
Replication & Consistency in Cassandra
Before we start with the consistency, replication and read-write operation in Cassandra, let’s first familiarize ourselves with what Cassandra is and its arc...