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Welcome to the course! Here we'll get you oriented and set you up for success in this course.
Lesson 02: Introduction to Neural Networks
Learn the concepts behind how neural networks operate and how we train them using data.
Lesson 03: Talking PyTorch with Soumith Chintala
Hear from Soumith Chintala, the creator of PyTorch, about the past, present, and future of the PyTorch framework.
Lesson 04: Introduction to PyTorch
Learn how to use PyTorch to build and train deep neural networks. By the end of this lesson, you will build a network that can classify images of dogs and cats with state-of-the-art performance.
Lesson 05: Convolutional Neural Networks
Learn how to use convolutional neural networks to build state-of-the-art computer vision models.
Lesson 06: Style Transfer
Use a deep neural network to transfer the artistic style of one image onto another image.
Lesson 07: Recurrent Neural Networks
Learn how to use recurrent neural networks to learn from sequential data such as text. Build a network that can generate realistic text one letter at a time.
Lesson 08: Sentiment Prediction with RNNs
Here you'll build a recurrent neural network that can accurately predict the sentiment of movie reviews.
Lesson 09: Deploying PyTorch Models
In this lesson, we'll walk through a tutorial showing how to deploy PyTorch models with Torch Script.
Lesson 10: Challenge Project
Build and train a model that identifies flower species from images.
Lab - Final Challenge.
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