Applied Deep Learning with PyTorch - Full Course

Overview

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Dive into a comprehensive 6-hour course on applied deep learning using PyTorch and Python. Explore key concepts including RNNs, LSTMs, sequence modeling, and attention mechanisms. Gain hands-on experience by building a chatbot from scratch. Learn to work with PyTorch tensors and process datasets effectively. Suitable for those with basic high school mathematics, programming knowledge, and familiarity with neural networks. Follow along with step-by-step instructions on data preparation, model construction, and training processes. Access additional resources, including the official PyTorch chatbot tutorial, to further enhance your learning experience.

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.