Deep Learning

AI Deep Learning Large Language Models

Are Retentive Networks A Successor to Transformer for Large Language Models?

Retention is an alternative to Attention in Transformers that can both be written in a parallel and in a recurrent fashion. This means the architecture achieves training parallelism while maintaining low-cost inference. Experiments in the paper look very promising. Yannic Kilcher elaborates.

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Bioinformatics Deep Learning Google

How DeepConsensus works

From Maria Nattestad’s work on the Genomics team in Google Health AI comes a video describing how DeepConsensus works to increase the quality of PacBio sequencing data using deep learning.

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Deep Learning

Deep Learning Models Using Keras Tutorial

This Edureka Tutorial on “Keras Tutorial” provides you a quick and insightful tutorial on the working of Keras along with an interesting use-case. Topics Covered : 00:00 Introduction 00:30 Agenda 01:12 What is Keras 01:53 Who Makes Keras 02:55 What Makes Keras Special 04:08 Keras User Experience 05:04 Multi-Backend & Multi-Platform 06:55 Keras Models 09:03 […]

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