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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python Kunal Sawarkar

Język publikacji: angielskim
Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python Kunal Sawarkar - okladka książki

Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python Kunal Sawarkar - okladka książki

Autor:
Kunal Sawarkar
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
366
Dostępne formaty:
     PDF
     ePub

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Building and implementing deep learning (DL) is becoming a key skill for those who want to be at the forefront of progress.But with so much information and complex study materials out there, getting started with DL can feel quite overwhelming.
Written by an AI thought leader, Deep Learning with PyTorch Lightning helps researchers build their first DL models quickly and easily without getting stuck on the complexities. With its help, you’ll be able to maximize productivity for DL projects while ensuring full flexibility – from model formulation to implementation.
Throughout this book, you’ll learn how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore how they are configured to build various industry solutions. You’ll build a neural network architecture, deploy an application from scratch, and see how you can expand it based on your specific needs, beyond what the framework can provide.
In the later chapters, you’ll also learn how to implement capabilities to build and train various models like Convolutional Neural Nets (CNN), Natural Language Processing (NLP), Time Series, Self-Supervised Learning, Semi-Supervised Learning, Generative Adversarial Network (GAN) using PyTorch Lightning.
By the end of this book, you’ll be able to build and deploy DL models with confidence.

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O autorze książki

Kunal Sawarkar is a chief data scientist and AI thought leader. He leads the worldwide partner ecosystem in building innovative AI products. He also serves as an advisory board member and an angel investor. He holds a master’s degree from Harvard University with major coursework in applied statistics. He has been applying machine learning to solve previously unsolved problems in industry and society, with a special focus on deep learning and self-supervised learning. Kunal has led various AI product R&D labs and has 20+ patents and papers published in this field. When not diving into data, he loves doing rock climbing and learning to fly aircraft, in addition to an insatiable curiosity for astronomy and wildlife.

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