NLP Lecture 3 - Introduction to Classification Models Lecture

[CS316] Lecture 3: From Machine Learning to Deep LearningПодробнее

Fine-tuning Large Language Models (LLMs) | w/ Example CodeПодробнее

Lec-5: Logistic Regression with Simplest & Easiest Example | Machine LearningПодробнее

How Large Language Models WorkПодробнее

Convolutional Neural Network በአማርኛ (Lecture 3)Подробнее

Text Classification | NLP Lecture 6 | End to End | Average Word2VecПодробнее

Lecture 20: Zero shot and few shot learning in NLPПодробнее

Stanford CS224N NLP with Deep Learning Winter 2019 Lecture 3 – Neural NetworksПодробнее

Lecture - 3 - Introduction to NLPПодробнее

NLP Lecture 5 - Introduction to Sequence ModelingПодробнее

Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)Подробнее

NLP Lecture 3(d) - Performance Metrics For Classification ModelsПодробнее

NLP Lecture 3 - Python Tutorial on N-gram Language ModelingПодробнее

NLP Lecture 3(c) - Logistic RegressionПодробнее

NLP Lecture 3(b) - Naive BayesПодробнее

NLP Lecture 3(a) - Numerical Representations of TextПодробнее

NLP Lecture 3 - Introduction to Classification ModelsПодробнее

Lecture 3: Sequence Models (Noah Smith)Подробнее

Introduction to NLP | GloVe Model ExplainedПодробнее