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 bdtechtalks.com
Machine learning: What is the transformer architecture? - TechTalks
| | swethatanamala.github.io
NLP - Summary of Sequence to Sequence with Neural Networks · Swetha's Blog
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| | The authors developed a straightforward application of the Long Short-Term Memory (LSTM) architecture which can solve English to French translation.
| | explosion.ai
Embed, encode, attend, predict: The new deep learning formula for state-of-the-art NLP models · Explosion
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| | Over the last six months, a powerful new neural network playbook has come together for Natural Language Processing. The new approach can be summarised as a simple four-step formula: embed, encode, attend, predict. This post explains the components of this new approach, and shows how they're put together in two recent systems.
| | www.analyticsvidhya.com
What is Recurrent Neural Networks (RNN)?
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| | Explore RNNs: their unique architecture, working principles, BPTT, pros/cons, and Python implementation using Keras.
| | blog.vstelt.dev
Writing a Neural Network from Scratch in Rust
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| [AI summary] The article explains the process of building a neural network from scratch in Rust, covering forward and backward propagation, matrix operations, and code implementation.