Deep Learning with Python: Sequence Models and Transformers
Released 04/2025
With Frederick Nwanganga
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 26m 30s | Size: 194 MB
The course introduces sequence data, sequence data problems, and how to solve sequence data problems using sequence models.
Course details
This course focuses on sequence models and transformers, essential for tasks involving sequential data such as time series analysis and natural language processing (NLP). Emphasizing practical applications, the course includes hands-on coding exercises. Instructor Fred Nwanganga explains what sequence data is, common sequence data problems, recurrent neural networks and its variants, transformers, and how to solve
several types of sequence data problems using pre-trained transformer models in
Python.
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