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Transformers
If you liked this post and want to learn how machine learning algorithms work, how did they arise, and where are they going, I recommend the following: Transformers are a type of neural network…
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Find similarTransformers Explained
This post is an in-depth elucidation of the Transformer model from the well-known paper “Attention is all you need” by Google Research. This model has been a pioneer to many SOTA (state of the art)…
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Transformers — You just need Attention
Natural language processing or NLP is a subset of machine learning that deals with text analytics. It is concerned with the interaction of human language and computers. There have been different NLP…
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Universal Transformers
This post will discuss the Universal Transformer, which combines the original Transformer model with a technique called Adaptive Computation Time. The main innovation of Universal Transformers is to…
Read more at Towards Data ScienceThe Essence of Transformers
Learning sequential data is an important problem in machine leaning that arises in many applications such as time-series analysis and natural language processing. Previously, RNN with LSTM was the…
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Transformers — Let’s Dive Deeeep!
By now, you must be thinking of the robots in Michael Bay’s series of American science fiction action films ! The Transformer is a deep learning model introduced in 2017,with its architecture…
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Transformers: A curious case of “attention”
In this post we will go through the intricacies behind the hypothesis of transformers and how this laid a foundational path for the BERT model. Also, we shall note that the stream of transfer…
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(Vision) Transformers: Rise of the Chimera
Source: Image by Nadeem on Pixabay. It’s 2023, and transformers are having a moment. No, I’m not talking about the latest installment of the Transformers movie franchise, Transformers: Rise of the Bea...
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A Deep Dive into Transformers
If you have not heard about Transformers in recent times in the field of NLP(Natural Language Processing) or Artificial Intelligence, then you are probably living under a rock. There has been an…
Read more at Analytics VidhyaUsing Transformers
This article works best when you can try out the different methods yourself — run my notebook on deepnote.com to try it! I love the transformers library. It is by far the easiest way to get started…
Read more at Analytics VidhyaThe Transformer
The invention of the transformer addressed problems with recurrent sequence modeling in natural language processing (NLP) and other tasks.
Read more at Towards Data ScienceTransformers Explained Visually (Part 3): Multi-head Attention, deep dive
A Gentle Guide to the inner workings of Self-Attention, Encoder-Decoder Attention, Attention Score and Masking, in Plain English.
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Transformers: An exciting revolution from text to videos
We will look at the benefits of Transformers from their application in Natural Language Processing, through Vision Transformers on images and arriving at TimeSformers.
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The Map Of Transformers
Transformers A broad overview of Transformers research Fig. 1. Isometric map. Designed by vectorpocket / Freepik. 1\. Introduction The pace of research in deep learning has accelerated significantly ...
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The A-Z of Transformers: Everything You Need to Know
Everything you need to know about Transformers, and how to implement them Image by author Why another tutorial on Transformers? You have probably already heard of Transformers, and everyone talks abo...
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Transformers: What Are They and How Can I Make One?
A simple summary of Transformers for NLP tasks, and a guide to making a Transformer for text generation with PyTorch. Photo by Suzanne D. Williams on Unsplash If you’re interested in machine learning...
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A Journey Into the Fabulous Applications of Transformers — Part 1 Demo with Emphasis on NLP using Python, Hugging Face. Photo by Arseny Togulev on Unsplash The introduction of transformers has made a...
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The Creative Side of Vision Transformers
It is considered one of the most important and irreplaceable peculiarities of humankind. But if this is such a special characteristic, it would be impossible for a neural network to imitate it, isn't…...
Read more at Towards Data ScienceA Journey into the Fabulous Applications of Transformers — Part 2
A Journey into the Fabulous Applications of Transformers — Part 2 Demo with Emphasis on NLP using Python, Hugging Face Photo by Samule Sun on Unsplash Transformer architecture is widely used in Natur...
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Using Transformers for Computer Vision
Are Vision Transformers actually useful? Continue reading on Towards Data Science
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Transformers in Action: Attention Is All You Need
Transformers A brief survey, illustration, and implementation Fig. 1. AI-generated artwork. Prompt: Street View Of A Home In The Style Of Storybook Cottage. Photo generated by Stable diffusion. Link ...
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GPT-3, BERT, XLNet, all of these are the state of the art in natural language processing (NLP), all are transformers - we explain how they work here.
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Transformers: An Overview of the Most Novel AI Architecture
The Model Responsible for your Siri, Alexa and Google Home Continue reading on Towards Data Science
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Illustrated Vision Transformers
Ever since Transformer was introduced in 2017, there has been a huge success in the field of Natural Language Processing (NLP). Almost all NLP tasks use Transformers and it’s been a huge success. The…...
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