Mastering Advanced NLP Deep Learning Pro Certification™
Master Natural Language Processing (NLP) with AI & Deep Learning. Learn text preproces
0
students
4 hours
content
Mar 2025
last update
$44.99
regular price
What you will learn
Introduction to NLP – Understanding Natural Language Processing and its real-world applications.
Bag of Words (BoW) & TF-IDF – Feature extraction techniques for text representation.
Text Preprocessing – Tokenization, stopword removal, stemming, and lemmatization.
Text Normalization Techniques – Converting text into a structured format for NLP models.
Understanding Word2Vec, GloVe, and FastText for capturing word relationships.
Application of Word Embeddings – Using embeddings for text classification, sentiment analysis, and more.
NLP Models & Techniques – Exploring traditional and deep learning-based NLP models.
Language Models & Embeddings – Understanding how language models predict and generate text.
Recurrent Neural Networks (RNNs) – Using RNNs for sequential text processing.
Sequence-to-Sequence Modeling – Applications of RNNs for machine translation and chatbots.
LSTM vs GRU – Comparing Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU).
GRU Architecture & Functionality – Understanding how GRUs process sequential data.
Attention Mechanism & Transformers – Enhancing deep NLP models with attention.
Transformer Architecture & Components – Understanding BERT, GPT, T5, and other transformer models.
Natural Language Generation (NLG) – Techniques for AI-driven text generation.
NLG Techniques & Approaches – Exploring GPT models, autoregressive modeling, and text synthesis.
Transfer Learning in NLP – Leveraging pretrained models for various NLP tasks.
Fine-Tuning Pretrained Models – Adapting BERT, RoBERTa, and GPT for specific applications.
NLP Tasks & Applications – Named Entity Recognition (NER), Sentiment Analysis, Machine Translation, Chatbots, and more.
NLP Capstone Project – Building an AI-powered NLP model from scratch.
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udemy ID
2/5/2025
course created date
3/23/2025
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