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Cousera Videos

Word Vectors

Attention Mechanism

Relationships Between Word Vectors
Word vectors and their interpretation

Week 5 - Recurrent Neural Networks

RNNs

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Course session

Faster Coding with ChatGPT, Stackoverflow and clever search

Deep dive

  • What are Embeddings?

  • Reinforcements of and insights into RNNs beyond Coursera

Solutions exercise RNN

Presentation from the participants of the RNN assignment from Coursera

Paddy challenge

Logistic regression baseline for the Paddy Competition

Walk-through

Basic CNN in PyTorchLightning

PyTorch 404 (Lab 04)

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To-do

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Watch the videos on the next page

Build your own model(s) for the Paddy challenge and try to achieve the best accuracy. Log your results that you can present them in the class!

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Add the the test functionality and create a submission.csv and upload it to the leaderboard

Introduction of Attention Mechanism
Intuition Into Meaning of Inner Products of Word Vectors
Inner Products Between Word Vectors
Queries, Keys, and Values of Attention Network
Self-Attention and Positional Encodings
Opencampus Paddy PyTorch Logistic RegressionKagglechevron-right
Google Colabcolab.research.google.comchevron-right
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