AI and ML for Coders in Pytorch: A Coder's Guide to Generative AI and Machine Learning

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for programmers, it focuses on practical applications using PyTorch, helping you build real-world models without feeling overwhelmed.

From computer vision and natural language processing (NLP) to generative AI with Hugging Face Transformers, this book equips you with the skills most in demand for AI development today. You'll also learn how to deploy your models across the web and cloud confidently.

Gain the confidence to apply AI without needing advanced math or theory expertise
Discover how to build AI models for computer vision, NLP, and sequence modeling with PyTorch
Learn generative AI techniques with Hugging Face Diffusers and Transformers

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Gain the confidence to apply AI without needing advanced math or theory expertise
Discover how to build AI models for computer vision, NLP, and sequence modeling with PyTorch
Learn generative AI techniques with Hugging Face Diffusers and Transformers

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Editie: Paperback

Nr. pagini: 400

Cod: BRT9781098199173

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AI and ML for Coders in Pytorch: A Coder's Guide to Generative AI and Machine Learning

De (autor): Laurence Moroney

AI and ML for Coders in Pytorch: A Coder's Guide to Generative AI and Machine Learning

De (autor): Laurence Moroney

Descrierea produsului

S-ar putea sa-ti placa si

Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD - Jeremy Howard

Generative AI with PyTorch: From Theory to Practice - Aniket Jain

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

Neural Network Programming with Python: Create your own neural network! - Max Sharp

Make Your First GAN With PyTorch - Tariq Rashid

Deep Learning with Python: Learn Best Practices of Deep Learning Models with Pytorch - Nikhil Ketkar

Learning PyTorch 2.0: Experiment deep learning from basics to complex models using every potential capability of Pythonic PyTorch - Matthew Rosch

Building Neural Networks from Scratch with Python - L. D. Knowings

Python Deep Learning - Third Edition: Understand how deep neural networks work and apply them to real-world tasks - Ivan Vasilev

Artificial Intelligence with Python - Second Edition - Alberto Artasanchez

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python - Sebastian Raschka

Modern Computer Vision with PyTorch - Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI - V. Kishore Ayyadevara

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch - Maxime Labonne

Mastering Python for AI and Data Science: Practical Techniques and Hands-On Projects to Boost Your Skills in Artificial Intelligence - Thompson Carter

Hands-On Machine Learning with Python: Implement Neural Network Solutions with Scikit-Learn and Pytorch - Ashwin Pajankar

The Python Bible Volume 6: Neural Networks (Tensorflow, Deep Learning, Keras) - Florian Dedov

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection - Vitor Cerqueira

Developing AI Applications - Metin Karatas

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