About this ebook
Mastering Deep Learning with fastai and PyTorch is a practical, hands-on guide to building intelligent AI systems—from first neural networks to production-ready workflows. Written for developers and data enthusiasts who want real results, this book walks you through modern deep learning concepts using fastai and PyTorch, the tools that help you train models faster, iterate smarter, and achieve stronger performance with less friction. You’ll learn how to prepare data, choose the right model architecture, and apply best practices for training, validation, and evaluation. The book covers key techniques such as transfer learning, fine-tuning, augmentation, learning rate scheduling, and debugging training issues. With clear, implementation-focused guidance, you’ll gain confidence in building end-to-end pipelines and improving accuracy through systematic experimentation. Whether your goal is computer vision, natural language processing, or flexible modeling for real-world tasks, you’ll find practical examples that connect theory to implementation. Along the way, you’ll also understand the reasoning behind common deep learning decisions—so you can adapt methods to your own datasets and constraints. If you’re ready to move beyond tutorials and start building AI systems that actually work, Mastering Deep Learning with fastai and PyTorch is your roadmap to deeper understanding and measurable progress.
Mastering Deep Learning with fastai and PyTorch is a practical, hands-on guide to building intelligent AI systems—from first neural networks to production-ready workflows. Written for developers and data enthusiasts who want real results, this book walks you through modern deep learning concepts ...
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About the author
Monika Gupta is a practitioner and educator passionate about making deep learning accessible through clear, actionable instruction. She has worked with machine learning systems across real-world projects, focusing on building reliable pipelines and improving model performance through principled experimentation. Her teaching approach emphasizes practical implementation, helping readers translate theory into working code with modern frameworks like PyTorch and fastai. Monika shares her expertise through guides and tutorials designed to support both beginners and experienced developers who want to move faster and learn smarter.
Monika Gupta is a practitioner and educator passionate about making deep learning accessible through clear, actionable instruction. She has worked with machine learning systems across real-world projects, focusing on building reliable pipelines and improving model performance through principled e...
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