Take the next steps toward mastering deep learning the machine learning method that's
transforming the world around us by the second. In this practical book you'll get up to speed
on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need
to create your very own neural networks. Ian Pointer shows you how to set up PyTorch on a
cloud-based environment then walks you through the creation of neural architectures that
facilitate operations on images sound text and more through deep dives into each element. He
also covers the critical concepts of applying transfer learning to images debugging models
and PyTorch in production. Learn how to deploy deep learning models to production Explore
PyTorch use cases from several leading companies Learn how to apply transfer learning to images
Apply cutting-edge NLP techniques using a model trained on Wikipedia Use PyTorch's torchaudio
library to classify audio data with a convolutional-based model Debug PyTorch models using
TensorBoard and flame graphs Deploy PyTorch applications in production in Docker containers and
Kubernetes clusters running on Google Cloud
