Intro to Deep Learning with PyTorch
About this Course
In this course, you’ll learn the basics of deep learning, and build your own deep neural networks using PyTorch. You’ll get practical experience with PyTorch through coding exercises and projects implementing state-of-the-art AI applications such as style transfer and text generation.
Learn the basics of deep learning and implement your own deep neural networks with PyTorch
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Deep learning is driving the AI revolution and PyTorch is …
Intro to Deep Learning with PyTorch
About this Course
In this course, you’ll learn the basics of deep learning, and build your own deep neural networks using PyTorch. You’ll get practical experience with PyTorch through coding exercises and projects implementing state-of-the-art AI applications such as style transfer and text generation.
Learn the basics of deep learning and implement your own deep neural networks with PyTorch
[
Deep learning is driving the AI revolution and PyTorch is making it easier than ever for anyone to build deep learning applications. In this course, you’ll gain practical experience building and training deep neural networks using PyTorch. You’ll be able to use these skills on your own personal projects.
]
lesson 1
Introduction to Deep Learning
Discover the basic concepts of deep learning such as neural networks and gradient descent
Implement a neural network in NumPy and train it using gradient descent with in-class programming exercises
Build a neural network to predict student admissions
lesson 2
Introduction to PyTorch
Hear from Soumith Chintala, the creator of PyTorch, how the framework came to be, where it’s being used now, and how it’s changing the future of deep learning
lesson 3
Deep Learning with PyTorch
Build your first neural network with PyTorch to classify images of clothing
Work through a set of Jupyter Notebooks to learn the major components of PyTorch
Load a pre-trained neural network to build a state-of-the-art image classifier
lesson 4
Convolutional Neural Networks
Use PyTorch to build Convolutional Neural Networks for state-of-the-art computer vision applications
Train a convolutional network to classify dog breeds from images of dogs
lesson 5
Style Transfer
Use a pre-trained convolutional network to create new art by merging the style of one image with the content of another image
Implement the paper “A Neural Algorithm of Artistic Style” by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge”
lesson 6
Recurrent Neural Networks
Build recurrent neural networks with PyTorch that can learn from sequential data such as natural language
Implement a network that learns from Tolstoy’s Anna Karenina to generate new text based on the novel
lesson 7
Natural Language Classification
Use PyTorch to implement a recurrent neural network that can classify text
Use your network to predict the sentiment of movie reviews
lesson 8
Deploying with PyTorch
Soumith Chintala teaches you how to deploy deep learning models with PyTorch
Build a chatbot and compile the network for deployment in a production environment
