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100 Days of Code!

The 100 Days of Code is a coding challenge created by Alexander Kallaway to encourage people to learn new coding skills.

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Day 21: GRU Networks Explained

Day 21: GRU Networks Explained

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6 min read
Jour 1/100 · 75 minutes

Jour 1/100 · 75 minutes

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1 min read
Day 20: LSTM Networks Explained

Day 20: LSTM Networks Explained

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5 min read
Day 19: The Vanishing Gradient Problem

Day 19: The Vanishing Gradient Problem

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5 min read
Day 18: Recurrent Neural Networks (RNNs) Explained

Day 18: Recurrent Neural Networks (RNNs) Explained

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5 min read
Week 13 of #100DaysOfCode: Completing Spring Microservices and Starting JUnit 5

Week 13 of #100DaysOfCode: Completing Spring Microservices and Starting JUnit 5

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5 min read
Day 17: Neural Networks Refresher for NLP Engineers

Day 17: Neural Networks Refresher for NLP Engineers

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5 min read
Day 16: Cosine Similarity and Semantic Search Basics

Day 16: Cosine Similarity and Semantic Search Basics

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5 min read
Day 14: FastText and Subword Embeddings

Day 14: FastText and Subword Embeddings

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5 min read
Day 13: GloVe: Global Vectors for Word Representation

Day 13: GloVe: Global Vectors for Word Representation

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6 min read
Week 12 of #100DaysOfCode: Exploring Spring Cloud and Microservices Infrastructure

Week 12 of #100DaysOfCode: Exploring Spring Cloud and Microservices Infrastructure

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4 min read
Day 12: Word2Vec Explained: Skip-Gram and CBOW

Day 12: Word2Vec Explained: Skip-Gram and CBOW

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5 min read
Day 15: Visualizing Embeddings with t-SNE and PCA

Day 15: Visualizing Embeddings with t-SNE and PCA

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5 min read
Day 11: Why One-Hot Encoding Fails: The Case for Embeddings

Day 11: Why One-Hot Encoding Fails: The Case for Embeddings

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3 min read
Day 10: Evaluation Metrics for NLP: Precision, Recall, F1, Confusion Matrix

Day 10: Evaluation Metrics for NLP: Precision, Recall, F1, Confusion Matrix

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5 min read
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