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 dennybritz.com
Recurrent Neural Networks Tutorial, Part 1 - Introduction to RNNs · Denny's Blog
| | research.google
Transformer: A Novel Neural Network Architecture for Language Understanding
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| | Posted by Jakob Uszkoreit, Software Engineer, Natural Language Understanding Neural networks, in particular recurrent neural networks (RNNs), are n...
| | 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.
| | 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.
| | neuralnetworksanddeeplearning.com
Neural networks and deep learning
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| [AI summary] The text provides an in-depth explanation of the backpropagation algorithm in neural networks. It starts by discussing the concept of how small changes in weights propagate through the network to affect the final cost, leading to the derivation of the partial derivatives required for gradient descent. The explanation includes a heuristic argument based on tracking the perturbation of weights through the network, resulting in a chain of partial derivatives. The text also touches on the historical context of how backpropagation was discovered, emphasizing the process of simplifying complex proofs and the role of using weighted inputs (z-values) as intermediate variables to streamline the derivation. Finally, it concludes with a citation and licens...