Upon successfully completing the course, you will be able to:
Explain how neural networks work and how to train them using data
Use PyTorch to build and train deep neural networks.
Use deep neural networks to build a classifier that can classify images of dogs and cats with state of the art performance
Use convolutional neural networks to build state of the art computer vision models
Use a deep neural network to transfer the artistic style of one image onto another image
Use recurrent neural networks to learn from sequential data such as text or audio.
Train a network that can generate text one letter at a time
Build a recurrent neural network to accurately predict the sentiment of movie reviews
Deploy PyTorch models