Enroll Course: https://www.coursera.org/learn/processamento-neural-linguagem-natural-em-portugues-i
Are you looking to dive into the fascinating world of Natural Language Processing (NLP) but specifically for the Portuguese language? Look no further than Coursera’s “Processamento Neural de Linguagem Natural em Português I” offered by the University of São Paulo (USP). This course, with support from C4AI and Google, is an excellent entry point for anyone wanting to understand how machine learning can be applied to process Portuguese texts.
The syllabus is thoughtfully structured, starting with a comprehensive introduction to NLP, covering everything from grammatical and probabilistic models to the neural models that are the focus of the course. You’ll get a solid grounding in typical NLP challenges and tasks.
The course then smoothly transitions into the fundamentals of neural networks, specifically Feed-forward networks (Multilayer Perceptrons). You’ll learn how these networks function, how they are trained, and their application in classification tasks. This foundational knowledge is crucial before moving on to more complex architectures.
Next, you’ll explore how words can be represented numerically through embeddings, creating a multidimensional space for words. This module bridges the gap between text and machine learning models, explaining how sequences of words can be processed effectively.
A significant portion of the course is dedicated to word2vec, a groundbreaking method that revolutionized word representation by capturing context. Understanding word2vec is key to grasping modern NLP techniques.
The journey continues with Recurrent Neural Networks (RNNs), designed to handle sequential data like text. While RNNs introduce their own set of challenges, the course explains these and introduces the sequence-to-sequence model, a widely used architecture that began with RNNs.
Finally, the course delves into practical applications with LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit) networks. These advanced recurrent architectures are essential for processing longer texts by effectively managing context, overcoming the limitations of simpler RNNs. You’ll learn how LSTMs and GRUs balance recent and distant context, enabling the processing of texts of virtually unlimited length.
By the end of this course, you’ll be equipped to write Python programs for training and executing NLP models. It’s a highly recommended course for students, researchers, and professionals interested in advancing their skills in Portuguese NLP.
Enroll Course: https://www.coursera.org/learn/processamento-neural-linguagem-natural-em-portugues-i