PyTorch is an open source framework from Facebook. Learn how to use it to build your own neural networks. Ian Pointer will help you figure out how to set up PyTorch in the cloud, how to create neural architectures that make it easier to work with images, sound and text. The book covers the most important concepts of the application of learning transfer, debugging models and the use of the PyTorch library. You will learn: To introduce deep learning models into work. Use PyTorch in large-scale projects. Apply training transfer. Use PyTorch torchaudio and convolutional models to classify audio data. Apply the most modern NLP methods using a model trained on Wikipedia. Debug PyTorch models with TensorBoard and a flamegraph. Deploy PyTorch apps in containers." PyTorch is one of the fastest growing deep learning libraries, rivaling Google's giant TensorFlow on an almost equal footing. The book must be a desktop book for every programmer and machine learning algorithm developer who wants to use PyTorch in their work." Ankur Patel, vice president of Data Science at 7Park Data.Ian Pointer, a data engineer, creates machine learning solutions for Fortune 100 clients. He currently works at Lucidworks, where he develops NLP applications and designs.