Sequence Modeling, Transformers, and Transfer Learning

Name: Sequence Modeling, Transformers, and Transfer Learning
Price: 49 USD
Availability: InStock

Coursera · intermediate · 9h

$49/moCertificate included

This course provides a comprehensive journey into sequence modeling, transformers, and transfer learning, equipping you with the skills to build powerful models for natural language processing (NLP) and other sequential data tasks. You'll begin by mastering Recurrent Neural Networks (RNNs), including their architecture, training techniques like backpropagation through time (BPTT), and specialized models such as Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRUs).

Skills covered

Deep Learning NLP Computer Vision Transformers Large Language Modeling Generative Model Architectures Model Training Fine-tuning Transfer Learning Recurrent Neural Networks (RNNs)

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