Lecture 3 – Minimum Edit Distance and Spelling Correction in Natural Language Processing
Natural Language Processing systems almost never receive perfectly clean and error free input. Users type quickly on mobile […]
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Lecture 2 – Text Preprocessing and Standard Corpora in Natural Language Processing
Natural Language Processing systems rarely work directly on raw, messy text. Before any model can classify, translate, summarise […]
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Lecture 1 – Introduction to Natural Language Processing, History, Core Applications
Natural Language Processing is one of the most important areas inside Artificial Intelligence. Almost everything we do on […]
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Lecture 18 – Deep Learning MCQs, Short Questions & Long Questions
Solved Deep Learning MCQs, short questions, and long questions for BSCS, NCEAC. Covers CNN, RNN, LSTM, GANs, Transformers, […]
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Lecture 16 – Autoencoders, Sparse Coding, Restricted Boltzmann Machines & Deep Belief Networks
Introduction Unsupervised Deep Learning plays a critical role in extracting representations from raw data without labels. While supervised […]
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Lecture 15 – Transformers in Deep Learning: Architecture, Self-Attention, Multi-Head Attention & Positional Encoding
Introduction Transformers are the most powerful and game-changing architecture in modern deep learning. From BERT and GPT-4 to […]
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