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Transformers Tutorial (Paper Explained + Implementation in Tensorflow and Pytorch) - Part3 🤗⚡
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The transformer is a deep learning model that adopts the mechanism of self-attention, differentially weighing the significance of each part of the input data. It is used primarily in the fields of natural language processing (NLP) and computer vision (CV).
In this series of videos, I read and explain the paper and implement its code in both Pytorch and Tensorflow.
GitHub Repository:
#AttentionIsAllYouNeed #SelfAttention #tensorflow #pytorch #nlp #tutorial #programming #artificialintelligence
In this series of videos, I read and explain the paper and implement its code in both Pytorch and Tensorflow.
GitHub Repository:
#AttentionIsAllYouNeed #SelfAttention #tensorflow #pytorch #nlp #tutorial #programming #artificialintelligence
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Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!
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Transformers Tutorial (Paper Explained + Implementation in Tensorflow and Pytorch) - Part1 🤗⚡
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Transformers Tutorial (Paper Explained + Implementation in Tensorflow and Pytorch) - Part3 🤗⚡
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Attention in transformers, visually explained | Chapter 6, Deep Learning
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Transformer Explainer- Learn About Transformer With Visualization
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Transformer Neural Networks - EXPLAINED! (Attention is all you need)
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Coding a Transformer from scratch on PyTorch, with full explanation, training and inference.
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Transformers Tutorial (Paper Explained + Implementation in Tensorflow and Pytorch) - Part5 🤗⚡
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[ 100k Special ] Transformers: Zero to Hero
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Transformers Tutorial (Paper Explained + Implementation in Tensorflow and Pytorch) - Part2 🤗⚡
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