Hacker

Inside Transformers: The Hidden Tech Behind LLM's and Chatbots like ChatGPT

This post tries to explain inner blocks of Transformer architecture which is the secret sauce behind all the Large language models and Chatbots with an example. Historically RNN’s like LSTM’s and ...
IEEE

Joint Beam Search Integrating CTC, Attention, and Transducer Decoders

Abstract: End-to-end automatic speech recognition (E2E-ASR) can be classified by its decoder architectures, such as connectionist temporal classification (CTC), recurrent neural network transducer ...
marktechpost

Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures

CNNs are specialized deep neural networks for processing data with a grid-like topology, such as images. A CNN automatically detects the important features without any human supervision. They are ...
GitHub

tensorflow/nmt: TensorFlow Neural Machine Translation Tutorial

Back in the old days, traditional phrase-based translation systems performed their task by breaking up source sentences into multiple chunks and then translated them phrase-by-phrase. This led to ...
IEEE

A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions

Abstract: In this article, a stochastic recurrent encoder decoder neural network (SREDNN), which considers latent random variables in its recurrent structures, is developed for the first time for the ...
Hacker

Build an Abstractive Text Summarizer in 94 Lines of Tensorflow !! (Tutorial 6)

This tutorial is the sixth one from a series of tutorials that would help you build an abstractive text summarizer using tensorflow , today we would build an abstractive text summarizer in tensorflow ...