Explore >> Select a destination

You are here

 jalammar.github.io
Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention) - Jay Alammar - Visualizing machine learning one concept at a time.
| | swethatanamala.github.io
NLP - Summary of Sequence to Sequence with Neural Networks ยท Swetha's Blog
2.5 parsecs away

Travel
| | The authors developed a straightforward application of the Long Short-Term Memory (LSTM) architecture which can solve English to French translation.
| | research.google
Transformer: A Novel Neural Network Architecture for Language Understanding
3.3 parsecs away

Travel
| | Posted by Jakob Uszkoreit, Software Engineer, Natural Language Understanding Neural networks, in particular recurrent neural networks (RNNs), are n...
| | teddykoker.com
NLP from Scratch: Annotated Attention | Teddy Koker
3.4 parsecs away

Travel
| | This post is the first in a series of articles about natural language processing (NLP), a subfield of machine learning concerning the interaction between computers and human language. This article will be focused on attention, a mechanism that forms the backbone of many state-of-the art language models, including Googles BERT (Devlin et al., 2018), and OpenAIs GPT-2 (Radford et al., 2019).
| | colah.github.io
Conv Nets: A Modular Perspective - colah's blog
13.2 parsecs away

Travel
| [AI summary] This article explains the structure, functionality, and significance of convolutional neural networks (CNNs) in pattern recognition and computer vision, highlighting their applications and breakthroughs.