Inside Deep Learning: Math, Algorithms, Models

This book is a fast-paced beginners guide to solving common technical problems with deep learning using the PyTorch framework. It covers math, theory, and practical applications, and is written for everyday developers with basic machine learning skills. The solutions can run in less than fifteen minutes using free GPU hardware.

Format: Paperback / softback
Length: 425 pages
Publication date: 27 June 2022
Publisher: Manning Publications

If you're eager to delve into the intricate world of deep learning and PyTorch, this comprehensive book is a must-read! - Tiklu Ganguly
Embark on a transformative journey into the realm of modern deep learning, equipped with innovative techniques to tackle real-world data challenges. Within the pages of Inside Deep Learning, you'll discover:
Implementing deep learning with PyTorch: Gain a solid foundation in leveraging the PyTorch framework for your deep learning endeavors.
Selecting the right deep learning components: Understand the key components of deep learning models and their roles in achieving optimal performance.
Training and evaluating a deep learning model: Learn effective strategies for training and evaluating deep learning models, ensuring their accuracy and reliability.
Fine-tuning deep learning models: Harness the power of fine-tuning to enhance the performance of your deep learning models, optimizing their accuracy and efficiency.
Understanding deep learning terminology: Acquire a comprehensive understanding of the key terms and concepts associated with deep learning, enabling you to communicate effectively with fellow practitioners.
Adapting existing PyTorch code to solve new problems: Explore how to repurpose existing PyTorch code to solve novel problems, expanding the possibilities of what you can achieve with deep learning.
Inside Deep Learning is an accessible guide designed to demystify complex deep learning concepts and empower you to grasp the vocabulary of this rapidly evolving field. With a focus on practicality, every detail is meticulously explained in plain English, making it accessible to developers of all levels.
Deep learning isn't just for big tech companies and academics; it's a powerful tool that can unlock meaningful insights and patterns in data for anyone who needs to extract valuable information. From filtering out spam to driving cars, deep learning's ability to learn by example makes it applicable across a wide range of industries and use cases.
Inside Deep Learning is a fast-paced beginners guide tailored specifically for everyday developers. It avoids complex mathematical proofs and unnecessary academic theory, instead presenting deep learning concepts through clear language, annotated code, and equations. As you progress through the book, you'll build a French-English translator that works on text, showcasing the practical applications of deep learning in real-world scenarios.
So, whether you're a seasoned developer or a newcomer to the world of deep learning, Inside Deep Learning is your key to unlocking the full potential of this exciting technology. Take the first step towards a deeper understanding of deep learning and PyTorch and embark on a journey of innovation and discovery!

Weight: 1256g
Dimension: 189 x 236 x 44 (mm)
ISBN-13: 9781617298639