Deep Learning with Python: Sequence Models and Transformers
Deep Learning with Python: Sequence Models and Transformers
Duration: 1h 26m 30s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 194 MB
Genre: eLearning | Language: English
Duration: 1h 26m 30s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 194 MB
Genre: eLearning | Language: English
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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