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freeCodeCamp

Applied Deep Learning with PyTorch - Full Course

via freeCodeCamp

Overview

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Six-hour video course on applied deep learning with PyTorch, covering recurrent neural networks and LSTMs, sequence-to-sequence models and attention mechanisms, an introduction to PyTorch and its tensors, and an end-to-end chatbot project spanning dataset processing, data preparation, model building and training. Suited to learners with some Python and machine learning background who want practical experience implementing sequence models.

Syllabus

Recurrent Nerual Networks - RNNs and LSTMs.
Sequence-To-Sequence Models.
Attention Mechanisms.
Introduction to PyTorch.
PyTorch Tensors.
Chatbot: Processing the Dataset.
Chatbot: Data Preperation.
Chatbot: Building the Model.
Chatbot: Training the Model.

Taught by

freeCodeCamp.org

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