Udacity Intro to Deep Learning with PyTorch
FreeLearn deep learning with PyTorch
About Udacity Intro to Deep Learning with PyTorch
The Udacity Intro to Deep Learning with PyTorch course (UD188) teaches the fundamentals of deep learning and how to build deep neural networks using PyTorch, an open-source machine learning library. The curriculum covers neural network theory, training with data, convolutional neural networks for computer vision, style transfer, recurrent neural networks for sequential data, sentiment prediction with RNNs, and deploying PyTorch models with Torch Script. The course includes practical projects such as classifying images of dogs and cats, transferring artistic styles between images, and generating text. It is taught by industry experts including Soumith Chintala, the creator of PyTorch. The course is free, requires no prior technical experience, and has a rating of 4.6 out of 5.
Key Features
Pros & Cons
- Free course with no prerequisites
- Taught by industry experts including PyTorch creator Soumith Chintala
- Covers both theory and hands-on projects
- Includes deployment with Torch Script
- High rating (4.6 out of 5)
- Last updated in March 2022, may not cover the most recent PyTorch developments