Udacity Intro to Deep Learning with PyTorch logo

Udacity Intro to Deep Learning with PyTorch

Free

Learn deep learning with PyTorch

FreeFree tier
Type
Open Source
Company
Udacity

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

Introduction to neural networks and training
Building and training deep neural networks with PyTorch
Convolutional neural networks for computer vision
Artistic style transfer using deep neural networks
Recurrent neural networks for sequential data
Sentiment prediction RNN for movie reviews
Deploying PyTorch models with Torch Script
Taught by industry experts including PyTorch creator Soumith Chintala
No prerequisites required
Free course with practical projects

Pros & Cons

Pros
  • 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)
Cons
  • Last updated in March 2022, may not cover the most recent PyTorch developments

Best For

Natural Language Processing (sentiment analysis, text generation)Computer Vision (image classification, style transfer)General deep learning model building