Introduction to Deep Learning in Pytorch
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- Landing Page
- Pytorch Quickstart
- Pytorch Basics
- Pytorch GPU Support
- Regression and Classification with Fully Connected Neural Networks
- High Dimensional Data
- Datasets and data loading
- Building the network
- Computer Vision and Convolutional Neural Networks
This workshop series introduces the essential concepts in deep learning and walks through the common steps in a deep learning workflow from data loading and preprocessing to training and model evaluation. Throughout the sessions, students participate in writing and executing simple deep learning programs using Pytorch – a popular Python library for developing, training, and deploying deep learning models.
